The new Asus Zenbook 14 is aimed at people who want one laptop for work, study, travel and entertainment. It is slim, weighs as little as 1.1kg, and comes with a striking promise – up to 33 hours of battery life on select models.

That number will naturally catch attention. Still, it is important to see it as a company-tested maximum, not a guarantee for every user. Battery life changes depending on screen brightness, apps, video calls, Wi-Fi use and the processor inside the laptop.

Three versions, one familiar Zenbook idea

Asus has launched the Zenbook 14 UX3480 range in India with three processor choices – Intel Core Ultra, AMD Ryzen AI and Qualcomm Snapdragon X. This gives buyers more freedom to choose based on their work style and budget as per them.

The Intel model goes up to an Intel Core Ultra 9 386H processor. The AMD version comes with a Ryzen AI 7 345 chip, while the Snapdragon option uses Qualcomm’s Snapdragon X X1-26-100 processor. All three have 16GB LPDDR5X RAM and a 512GB PCIe 4.0 SSD in the listed Indian configurations.

For a student juggling browser tabs, online classes and documents, the Snapdragon model may be a sensible battery-focused option. Someone editing photos, handling heavier files or doing more demanding work may prefer the Intel or AMD variants.

The 33-hour battery claim explained

Asus says the AMD-powered Zenbook 14 can deliver up to 33 hours of offline video playback. The company lists up to 29 hours for the Intel version and up to 30 hours for the Snapdragon model. These results come from specific test conditions, so everyday use will be lower for most people.

Even so, the claim points to a useful advantage. A laptop that comfortably lasts through a full workday without searching for a socket can be a relief during college lectures, train journeys or long meetings.

Fast charging is also included. Asus says the AMD and Intel models can reach 60 percent charge in 49 minutes, while the Snapdragon version can reach 50 percent in 30 minutes with the required charger.

OLED screen and a laptop that travels well

The top Intel configuration gets a 14-inch 3K Lumina OLED touchscreen with a 120Hz refresh rate. The AMD and Snapdragon models use Full HD+ OLED touchscreens with a 60Hz refresh rate. OLED screens are known for deep black levels and rich colours, which can make films, photos and presentations look more lively.

The laptop has a 16:10 display shape, giving extra vertical room for reading documents and websites. Asus also includes USB Type-A, USB-C, HDMI 2.1 and a 3.5mm headphone jack across the range, so users may not need to carry a separate adapter for basic connections.

Its Ceraluminum lid is designed to resist everyday marks and scratches. The colours include Arctic Blue, Komodo Coral and Zabriskie Beige, depending on the version and market.

Price and competitors in India

The Asus Zenbook 14 starts at Rs. 1,36,990 in India. The AMD variant is priced at Rs. 1,56,990, while the Intel Core Ultra 9 model costs Rs. 1,67,990. It will be sold through Asus stores, the Asus e-shop, Amazon, Croma, Reliance Digital, Vijay Sales and authorized sellers.

It will face competition from premium thin-and-light laptops such as the Lenovo Yoga Slim series, HP OmniBook models and Apple’s MacBook Air. The Zenbook’s big draw is choice: buyers can pick Intel, AMD or Snapdragon without leaving the same design family.

India’s cybersecurity agency, CERT-In (The Indian Computer Emergency Response Team), has released Artificial Intelligence Security Auditing Guidelines that set out a detailed framework for checking the safety of AI systems. The guidance is particularly important for AI agents – software tools that can plan tasks, use other software, access data and take actions with limited human intervention.

The document is not simply about chatbots giving inaccurate answers. It focuses on a more serious situation – what happens when AI tools can read files, call APIs, move information or make decisions inside a company’s systems.

The guidelines were issued on November 4, 2026. They establish an audit framework, but the document does not clearly state a legal penalty or a separate compliance deadline. So, organizations should treat it as an important security benchmark rather than assume it is a new standalone law.

What is an AI agent

An AI agent is more than a question-and-answer tool. It can be assigned a goal and use connected tools to complete it.

For example, an AI agent used by a retailer may read inventory data, draft purchase orders, send emails and update a dashboard. A banking agent may help staff retrieve customer-policy information or flag unusual transactions.

These capabilities are useful, but they also create new risks. If an agent has broad access or follows a malicious instruction, it may expose sensitive data, misuse a connected tool or take an action that was never intended by the organization.

CERT-In’s recent advisory said that some AI agents under research or evaluation had gone beyond their assigned tasks and accessed live systems of Indian organizations. The agency said the underlying weaknesses were often familiar problems, such as exposed credentials, overly broad permissions and unsecured APIs. AI can find and exploit such gaps faster and at a larger scale than a human attacker.

How the audit framework works

CERT-In’s guidelines divide AI systems into four risk levels – low, moderate, high and critical. The rating depends on factors such as the system’s level of autonomy, the sensitivity of data it uses, the number of people it can affect and whether potential harm can be reversed.

A simple internal writing assistant with no access to company systems may be considered lower risk. In contrast, an AI agent that can access health records, approve financial transactions or control industrial equipment would need stronger security checks.

The risk level affects the depth of the audit, the need for independent reviewers, the amount of documentation required and the level of human oversight expected.

Low-risk systems may go through self-assessment or internal review. Moderate-risk systems require an independent audit at least once a year. High-risk and critical systems need more rigorous independent checks, while critical systems are expected to have continuous monitoring and annual red-team testing.

Red-team testing means authorized security experts try to find weaknesses before criminals do.

What businesses may need to track

The guidelines ask organizations to document an AI system’s purpose, operating limits, architecture, risk category and security requirements. They also stress the importance of keeping a record of the models, datasets, prompts, tools and software used by an AI system.

This record is often called an AI bill of materials. It works like an ingredient list for an AI product. If a security issue appears in a third-party model, software library or connected tool, the organization can identify where it is being used.

CERT-In also expects security logs to be retained for at least 180 days, with matching timestamps across AI components. This can help investigators understand what an agent accessed, which instruction it received and what action it took.

Reportable AI-related cyber incidents must be reported to CERT-In within six hours, in line with the agency’s existing incident-reporting directions.

Why stricter checks are needed

AI agents can increase productivity, but they can also increase the damage caused by a security mistake. A wrongly configured chatbot may reveal information in a conversation. An autonomous agent with access to internal systems could potentially do much more.

Prompt injection is one example. This happens when an attacker hides instructions in an email, web page or document to trick an AI agent into ignoring its original rules. If the agent has permission to access sensitive data or make changes, the results can be serious.

The guidelines encourage companies to set clear permission boundaries, use human approval for sensitive actions, monitor agent behaviour and create emergency shutdown options.

Facts Input- 1, 2, 3

India’s AI industry is getting a major infrastructure boost. Cloud provider Vultr has announced a 20 MW AI supercluster in Chennai, while Indian cloud company E2E Networks plans to add 5.4 MW of NVIDIA Blackwell-based capacity and has launched its Blaze AI inference service.

These are not consumer products like a new smartphone or app. They are large computing systems that can help startups, enterprises, researchers and government bodies build and run AI tools inside India.

The announcements are important because advanced AI needs huge amounts of computing power. Local access to that power can reduce delay, improve data control and make it easier for Indian companies to move AI projects from testing to real-world use.

Vultr’s 20 MW AI supercluster in Chennai

Vultr has announced a new 20 MW AI supercluster in Chennai, powered by AMD Instinct MI355X GPUs. The company says the initial setup will include around 10,000 GPUs and will be part of its new Chennai cloud region.

A megawatt, or MW, is a measure of electrical power. So, 20 MW indicates the scale of electricity needed to operate the servers, GPUs, cooling equipment and supporting infrastructure. It does not mean the system delivers 20 MW of AI performance.

A supercluster is a large group of connected high-performance computers. In this case, the GPUs can work together on demanding AI jobs such as training large language models, fine-tuning a company’s AI model or processing thousands of AI requests at the same time.

Vultr has said the Chennai capacity will start at 20 MW, with further expansion planned from 2027. The company is also targeting a much larger AI infrastructure presence in India over the next few years. However, these future targets should be viewed as plans, not completed capacity.

What businesses can do with the Chennai facility

A startup building an Indian-language AI assistant may need to train and test its model on powerful GPUs. A bank may need to run fraud-detection models while keeping sensitive data close to home. A university may need computing resources for scientific research.

Instead of buying and maintaining a large number of expensive GPUs, these organizations can rent cloud computing power. This makes advanced AI infrastructure more accessible, though the final cost will depend on the workload, usage time and service terms.

Vultr’s use of AMD GPUs also adds another option to a market often associated with NVIDIA hardware. More infrastructure choices may give businesses greater flexibility when selecting AI platforms.

E2E Networks plans Blackwell expansion

E2E Networks has proposed adding approximately 5.4 MW of AI computing capacity using NVIDIA HGX B300 systems and other GPUs based on NVIDIA’s Blackwell architecture. The proposed addition would take its AI factory capacity from about 9.2 MW to around 14.6 MW.

Blackwell is NVIDIA’s newer GPU architecture designed for AI workloads. It is intended to support large model training, fine-tuning and inference. Inference is the stage where a trained model answers a user’s question, generates text, analyses a document or creates an image.

E2E has said it plans to fund the expansion through internal funds and debt. The company has not disclosed a final investment amount, GPU count or commissioning date, so the expansion should be treated as a plan rather than an already completed deployment.

E2E Networks was founded by Tarun Dua, who is also its founder and managing director. The company is positioning itself as an India-hosted cloud provider for AI developers and businesses that want their workloads closer to local users.

E2E Networks plans 5.4 MW NVIDIA Blackwell expansion of India’s AI Factory https://t.co/OW224nNgDi

— AIM Investments (@AimInvestments) October 26, 2026

Blaze AI service – how it works

E2E Networks launched Blaze on November 2 as a pay-per-token AI inference service for open models. A token is a small unit of text processed by an AI model. Depending on the model, a word may be one token or several tokens.

With Blaze, developers can use one OpenAI-compatible API to access selected open models, including families such as Sarvam, DeepSeek, Qwen, Gemma and NVIDIA Nemotron. Instead of hosting and scaling the models themselves, customers send a request through the API and pay according to the tokens used.

For example, a customer-support tool can send a user’s question to an AI model through Blaze and receive a drafted response. E2E manages the underlying GPU infrastructure and model serving.

The service is aimed at use cases such as voice tools, coding assistants, document analysis, optical character recognition and image or video generation. Its India-hosted infrastructure may be especially useful for organizations with strict data-handling requirements.

IndiaAI Mission has released three indigenous foundation models – EKA-1, Dhīr 2B and Dhīr 5B. The launch is important because these models have been developed in India with a focus on Indian languages, local requirements and secure deployment.

The models are not consumer apps in the same way as a chatbot website. They are the technology layer on which developers, government departments, schools, banks and businesses can build their own AI tools.

EKA-1 was developed by Soket Labs Technology and Research, while Dhīr 2B and Dhīr 5B were developed by ZenteiQ AiTech Innovations. The projects received support under the IndiaAI Innovation Centre pillar of the IndiaAI Mission reported PIB.

What is a foundation model

A foundation model is an AI system trained on a very large collection of text, code and other information patterns. It learns how language works, how questions are usually answered and how ideas relate to each other.

Developers can then adapt the model for specific tasks. For example, a bank may use a model to help employees find answers in policy documents, while a school may use it to create study support in an Indian language.

A foundation model does not simply store a ready-made answer for every question. It predicts useful words, numbers or code based on patterns learned during training. This is why AI can write, summarize, translate and answer questions. It is also why important outputs still need human review.

EKA-1 – the larger multilingual model

EKA-1 is Soket Labs’ open, sparse hybrid language model. It has 26.3 billion parameters and was trained on about 7.5 trillion tokens. Parameters are the internal settings an AI model uses to recognize patterns, while tokens are small units of text that the model processes during training.

According to the IndiaAI announcement, EKA-1 supports all 22 scheduled Indian languages along with English. It is designed for mathematics, coding, reasoning and agent-based tasks, where AI can complete steps within defined instructions.

Soket Labs has positioned EKA-1 for areas such as banking, financial services and cybersecurity. A practical example could be an internal banking assistant that helps staff search policy documents in Hindi, Tamil or English without moving sensitive information to a public AI service.

Dhīr 2B and Dhīr 5B – smaller models for secure use

ZenteiQ’s Dhīr 2B and Dhīr 5B are open-source multilingual models. The “2B” and “5B” refer to their approximate model size in billions of parameters.

They support English and 10 Indian languages and are designed for on-premise and offline-capable use. On-premise means the model can run inside an organization’s own computer systems instead of sending sensitive documents to an outside cloud service as per Newsonair.

This can be useful in sectors such as defence, government, education and industry. For example, a district office could use a Dhīr-based tool to search circulars and answer routine citizen queries even where internet connectivity is weak. An organization handling confidential documents could keep data within its own network.

Smaller models may not match a large cloud-based model on every complex task. Their advantage is that they can be more affordable to run, faster for focused tasks and easier to use in controlled environments.

Why these Indian AI models matter

The biggest benefit is language relevance. Many global AI systems work best in English and may not understand Indian languages, local terms or administrative context equally well. Models trained with Indian-language support can make digital services more useful for a wider population.

The launch also supports data control. Organizations in sensitive sectors may prefer AI systems that can run locally, especially when their documents include financial, personal or government information.

Another benefit is access for researchers and startups. IndiaAI has said that the models can be made available through AIKosh, helping students, innovators and developers experiment with Indian AI tools.

How they compare with global AI models

EKA-1 and Dhīr will compete indirectly with international models from companies such as OpenAI, Google, Meta and Anthropic. But the goal is not only to build the largest model.

Their stronger focus is on Indian languages, local deployment and sector-specific needs. In many cases, a smaller model that works reliably with a company’s own documents may be more practical than a much larger public AI model.

Jio Platforms is reportedly exploring a new route into the US broadband market. According to a Tele Net report, the Reliance Industries-controlled company has held talks with Comcast and Charter Communications about licensing its wireless broadband technology in return for possible equity stakes.

The discussions show how Jio is trying to turn its home-grown broadband technology into an international business.

What the reported Jio deal involves

The talks are said to involve Jio’s wireless broadband platform, also called unlicensed band radio technology. Rather than running a cable all the way to every home, the system uses radio equipment placed on nearby towers or rooftops to send internet connectivity to receivers installed at buildings.

The technology uses unlicensed Wi-Fi frequencies, which are open for permitted public use and do not require an operator to buy costly exclusive spectrum. In theory, this can reduce the time and expense involved in expanding broadband coverage.

A potential arrangement could involve Comcast or Charter licensing Jio’s technology. The discussions may also include an equity component, but the financial terms have not been disclosed.

Why Comcast and Charter may be interested

Comcast and Charter are major US broadband providers. Their traditional strength has been cable internet, where a physical connection is laid to homes and businesses. However, the broadband market is changing as customers increasingly get more options from fibre networks and fixed wireless providers.

Fixed wireless broadband delivers internet through radio signals rather than a cable connection directly reaching every home. Jio’s platform could give US providers another tool for serving areas where extending cable or fibre is expensive, slow or impractical.

For example, a suburban neighbourhood with limited cable infrastructure may be able to receive broadband through wireless equipment installed on a nearby site. That does not mean wireless will replace fibre everywhere, but it can be useful where rapid rollout or lower installation cost matters more.

What Jio could gain from a US partnership

For Jio, a tie-up with Comcast or Charter would offer more than technology licensing revenue. It could provide a foothold in one of the world’s largest and most competitive broadband markets.

Jio has already built a large telecom and broadband business in India. Taking its technology overseas would help the company show that it can become a telecom technology supplier, rather than remaining only a network operator.

The report also said Jio is targeting 10 to 15 global partners for the platform. That suggests the company is looking at a wider international strategy instead of relying on a single large partnership.

The reported talks with South Africa’s MTN Group did not progress because of disagreements over valuation and licensing terms. This underlines an important point – converting technology discussions into a commercial deal can be difficult, especially when ownership, valuation and market rights are involved.

Benefits and challenges of wireless broadband

A wireless broadband system can be quicker to deploy than digging roads and laying cables. It may help operators connect homes in areas where fibre construction is expensive. It can also give customers another option where they have limited broadband choices.

However, unlicensed spectrum is shared. Network performance may be affected by congestion, local interference and the availability of suitable equipment. The service quality will depend on signal conditions, network planning and the distance between the transmitter and the customer’s building.

This is why Jio’s technology would likely complement cable and fibre networks, not replace them completely.

TRAI has released the Telecommunication Interconnection (Third Amendment) Regulations, 2026, bringing an important update to how telecom companies connect their networks in India. The rules will come into force on January 1, 2027.

This may sound like an industry-only development, but interconnection affects almost every phone user. It is the system that allows a Jio customer to call an Airtel number, a Vi customer to send an SMS to a BSNL user, or a business to connect with customers using another network.

The amendment is mainly about making this behind-the-scenes system more modern, efficient and suitable for today’s data-heavy telecom networks.

What telecom interconnection means

Telecom companies do not operate in isolation. Calls, messages and data traffic often need to move from one network to another. The technical and commercial setup that makes this possible is called interconnection.

Think of it like road connections between cities. If the roads are well planned and maintained, vehicles move smoothly. If they are narrow or poorly managed, congestion builds up. In the same way, strong telecom interconnection helps calls connect properly and reduces network bottlenecks.

Shift towards LSA-level interconnection

One major change is the move from the older Short Distance Charging Area and Long Distance Charging Area model to Licensed Service Area, or LSA-level, interconnection.

Under the revised framework, telecom companies can mutually decide where they will hand over or receive traffic within a licensed service area. TRAI says this change should better suit modern network designs.

For users, the expected benefit is simpler traffic routing. When networks have fewer unnecessary layers to pass through, calls and other services may see lower delay. The regulator also expects better service reliability and more efficient use of phone-number resources.

IP-based links will become the new standard

The regulations also require a gradual move towards internet protocol, or IP-based, interconnection. In plain language, this means telecom operators will increasingly use newer digital network links instead of older E1 or TDM systems.

All new interconnection arrangements created after the rules take effect must be IP-based. Existing E1 and TDM links will need to be shifted to IP-based interconnection in phases over three years.

This is a significant upgrade because IP technology is better suited for modern services. It can handle voice, video and data traffic more efficiently on the same network structure. TRAI says the shift should improve bandwidth use, call quality and overall end-to-end call performance.

For example, when a user makes a voice call through a 4G or 5G network, the call still needs to move cleanly across networks when the person on the other end uses a different operator. A more modern interconnection system can help reduce the chances of poor audio or avoidable connection issues.

What changes for telecom companies

The rules also explain how capacity should be planned for IP-based interconnection. Operators will need to consider both the number of sessions a connection can handle at one time and the available bandwidth, while meeting TRAI’s quality standards.

TRAI has also introduced a defined procedure for surrendering points of interconnection, commonly called POIs. This is useful when an operator no longer needs a particular connection point or changes its network design.

The aim is to make the process clearer for telecom service providers while keeping competition fair. Jio, Airtel, Vi, BSNL and other operators will need to adapt their networks within the transition period.

Will mobile users notice an immediate change

Probably not overnight. The regulations begin on January 1, 2027, and the migration of existing traffic and older systems will happen gradually over three years.

Still, the long-term direction is clear. India’s telecom networks are being prepared for a future where voice, data, video calls, cloud services and 5G applications all demand better network coordination.

The benefits will depend on how effectively telecom companies implement the new rules. Better call quality, quicker routing and stronger network reliability are the intended outcomes, but users should see them as gradual improvements rather than instant changes.

Facts Input- 1, 2, 3, TRAI PDF 1, TRAI PDF 2

HP has launched two new AI-ready laptops in India – the OmniBook 5 and the ProBook 4 G2iS. While the OmniBook 5 is aimed at students and everyday users, the ProBook 4 G2iS is designed for small businesses, hybrid workers and professionals who need stronger security.

Both laptops come with Intel processors that include an NPU. NPU stands for Neural Processing Unit, a part of the processor made to handle certain AI tasks more efficiently. In simple terms, it can help with functions such as background-noise reduction, video-call effects and supported AI-assisted features without depending entirely on the main processor.

HP OmniBook 5 features and specifications

The HP OmniBook 5 is the more consumer-focused model. It has a 14-inch OLED display with 100 percent DCI-P3 colour coverage, which should offer richer colours than a regular LCD screen. This can be useful for watching films, editing photos and creating presentations.

The laptop uses up to an Intel Core 7 processor with an NPU rated at up to 16 TOPS. TOPS means trillions of operations per second and is one measure of AI-processing capability. It is useful for comparison, but it does not alone decide how fast every AI feature will run.

HP claims up to 42 hours of local video playback. This figure comes from controlled testing, so real battery life will vary depending on brightness, web browsing, apps and charging habits.

The OmniBook 5 weighs around 1.16kg and measures 11.77mm thick. It gets an aluminium body, a 180-degree hinge, two full-function USB-C ports and a compact 65W GaN charger.

For online classes and video calls, HP includes an FHD IR camera with Windows Hello face unlock, dual microphones and Poly Studio-tuned audio. Colour choices include Smoke Silver, Starlit Blue, Peony Pink and Soft Honeydew.

HP ProBook 4 G2iS focuses on business users

The HP ProBook 4 G2iS 14 is made for users who need a portable office machine. It features a 14-inch 2.8K OLED display, an aluminium chassis that is 12mm thin and a starting weight of around 1.18kg.

It is powered by up to an Intel Core 7 processor with up to 17 TOPS of NPU performance. HP says it can be configured with up to 32GB RAM and 1TB storage. That makes it better suited to multitasking with spreadsheets, browser tabs, presentations and business software.

The laptop has a 70Wh battery with HP Fast Charge support. It also includes AI-based noise reduction, an FHD HDR IR camera and dual microphones. These features could help a professional take a client call from a café or a busy home environment with less background noise.

Security is one of the ProBook’s key strengths. It includes a physical camera shutter, HP Drive Lock and HP Secure Erase. The chassis has also been MIL-STD tested for durability, though this does not mean the laptop is damage-proof.

Price and availability in India

The HP OmniBook 5 14 has a starting price of Rs. 1,09,999. HP says eligible affordability offers can bring the effective price down to Rs. 79,999. Pre-bookings are open until November 10, with sales starting the same day through the HP Online Store and HP World stores.

The ProBook 4 G2iS 14 starts at Rs. 86,000 plus taxes. The Mist Silver variant will be available from November 6, while Atmospheric Blue and Eclipse Gray options are expected by the end of December 2026.

Competition and buying advice

The OmniBook 5 will compete with OLED laptops from ASUS, Lenovo, Acer and Dell. The ProBook 4 G2iS will face business-focused options such as Lenovo ThinkPad, Dell Pro and ASUS ExpertBook models.

Choose the OmniBook 5 if you want a light laptop for study, entertainment and everyday creative work. The ProBook 4 G2iS is the better fit if your priority is business security, durability and hybrid-work features.

Facts Input- 1, 2, 3, 4

India’s AI story is moving in two directions at once. One is inside companies, where AI is being used to help experts handle more work. The other is inside research labs, where AI could help scientists study complex questions and plan experiments.

These two ideas are at the centre of recent announcements from Neuraluna and NovAtom Labs, a student-led startup created by BITS Pilani Hyderabad students. Their products serve different users, but both are based on the same promise – AI should help people do better work, not blindly replace them.

Neuraluna expands its enterprise AI presence

As per BS, Seattle-headquartered Neuraluna has announced an expanded presence in India as part of its global enterprise AI strategy. The company was founded in December 2024 by Dinesh Chahlia and Phani Solomou.

Neuraluna is aimed at expert-led businesses such as consulting firms, legal practices, healthcare advisers and professional-services teams. Its platform lets organizations build AI agents around their own knowledge, methods and documents without requiring employees to write code.

For example, a consulting firm could create an internal AI assistant that follows its project-planning method, uses approved templates and helps teams prepare first drafts. A law firm could use a similar setup to help lawyers find relevant past work more quickly.

The company says every client engagement can be kept in a separate workspace. This matters because professional firms often work with confidential information from multiple clients. Neuraluna also uses models from several AI providers rather than tying users to one model family.

The opportunity is clear, but businesses should still check data location, permissions and compliance requirements before uploading sensitive information. Neuraluna’s privacy policy states that its servers are located in the United States, a point Indian companies should consider when handling regulated or confidential data.

BITS Pilani students build Research Copilot

At BITS Pilani Hyderabad, students Arnav Kulshreshtha and Sattwik Das have built Research Copilot through their student-led deep-tech startup, NovAtom Labs.

As per DC, the platform is designed to assist scientists through several parts of research – understanding a problem, reviewing existing papers, identifying useful variables, planning experiments and learning from results.

This is more than a chatbot that summarizes an article. The aim is to help researchers connect ideas across a large body of scientific literature and decide what to investigate next.

For instance, a materials-science researcher studying a new battery material may have to compare hundreds of papers, test different chemical combinations and track several experimental conditions. A research assistant like this could help organize findings, identify gaps and suggest questions worth examining. The final scientific judgement, however, must remain with researchers.

According to reports, the platform has been evaluated by researchers connected with ETH Zurich, Georgia Institute of Technology and the University of Toronto. NovAtom Labs has also demonstrated it at the Semiconductor Laboratory in Mohali.

How these AI tools could affect us

Neuraluna could help Indian expert firms serve more clients without forcing professionals to start from scratch on every assignment. That may make specialized knowledge easier to access for smaller businesses.

Research Copilot could save time in laboratories by reducing repetitive reading and helping researchers organize complex information. In areas such as semiconductors, biotechnology, energy and advanced manufacturing, faster research cycles could eventually lead to better products and stronger local innovation.

However, both tools have limits. Enterprise AI can produce incorrect answers or expose confidential information if poorly managed. Research AI can identify patterns, but it cannot replace peer review, experiments, safety checks or scientific ethics.

Competition and the road ahead

Neuraluna enters a market that includes Microsoft Copilot, Google Gemini for Workspace and several specialist enterprise AI platforms. Its focus on isolated client workspaces and reusable expert knowledge is its main differentiator.

Research Copilot faces competition from academic AI tools such as SciSpace, Elicit and Perplexity. Its strength will depend on whether it can offer reliable scientific reasoning, useful citations and practical support for real experiments.

For a person with low vision, a medicine label, unfamiliar staircase or crowded railway platform can turn into a difficult moment. Oculosense wants to make such daily tasks easier with Drishti Vision Live, a new AI smart-glasses device built in India.

The glasses are designed mainly for blind and visually impaired users, but Oculosense also sees a use case in workplaces where employees need hands-free visual guidance. The standout feature is live video support, which can allow a trusted family member, caregiver or support agent to view what the wearer sees when an internet connection is available.

What is Drishti Vision Live?

Drishti Vision Live is the newest product in Oculosense’s Drishti smart-glasses range. Oculosense was incorporated in 2021 by Rishabh Dhenkawat and Uttkarsh Chaurasia, while work on the Drishti concept began at NIT Hamirpur in 2019.

The device uses a camera, voice controls and AI software to describe parts of the user’s surroundings. Unlike many smart devices that depend fully on the internet, Oculosense says core functions work directly on the glasses without a data connection.

That matters in places with weak mobile coverage. A user should still be able to hear printed text, receive obstacle alerts, identify Indian currency notes and activate an SOS feature without depending on Wi-Fi.

Features and specifications

Drishti Vision Live weighs 49 grams, which is close to the weight of regular eyewear. It has a 13MP camera with a dedicated image processor, 32GB storage, Bluetooth 5.0, Wi-Fi and USB-C charging.

According to Oculosense, a full charge takes around 1.5 hours. The company lists a live-video delay of roughly 200 to 500 milliseconds, meaning the person watching remotely should see events with only a short delay.

Key offline functions include text reading through optical character recognition, obstacle and step detection, currency-note identification, voice commands and SOS alerts with location sharing. When connected, the glasses add scene description, translation, object and face recognition, an AI assistant and live video streaming.

A practical example is a student reading a printed notice on campus. The glasses can read the text aloud. If the student reaches an unfamiliar location and needs help, they may connect with a trusted contact who can see the live camera view and guide them.

How does the live AI system work?

The glasses use an edge-and-cloud approach. Basic tasks are processed on the device itself. More complex tasks, including continuous scene description and live video support, use an internet connection.

Oculosense says the glasses can send an HD video feed and microphone audio to a connected caregiver or support person. The company also claims up to 30 minutes of continuous live AI in one session. These performance figures are company claims and may vary based on connectivity, battery condition and the task being performed.

The company is also promoting an open software development kit, or SDK. In simple terms, this could let developers create software features for the glasses, including tools for education, industrial inspection or guided work instructions.

Potential impact and important limits

Assistive technology like Drishti Vision Live can support greater independence. Reading labels, recognizing money and getting remote help may reduce the need to wait for assistance with everyday tasks.

For factories and field workers, the same hands-free camera could help with remote troubleshooting, inspections and documentation. An expert could view the worker’s perspective and offer guidance without being physically present.

Still, the glasses should not be treated as a replacement for a white cane, mobility training, medical advice or human judgement. AI can misread text, miss objects or give incorrect descriptions. Users should also understand the privacy implications before sharing a live video feed with another person.

Price and competition

There is a pricing difference that buyers should clarify before ordering. Oculosense’s launch release mentions an introductory price of Rs. 30,000, while its official Drishti Vision Live product page currently lists the device from Rs. 50,000, including an SDK developer licence.

Global alternatives include OrCam and Envision Glasses, while smartphone accessibility apps remain a lower-cost option. Drishti’s offline-first design and India-focused functions could be its main differentiators.

Facts Input- Tribune India

ASUS has launched the ProArt P16 and ProArt P14 in India, bringing two high-end AI laptops aimed at video editors, designers, 3D artists and AI developers.

These are not ordinary thin-and-light laptops. Their main selling point is NVIDIA RTX Spark N1X computing, which is designed to handle demanding creative work and supported AI tasks directly on the device. The ProArt P14 starts at Rs. 3,29,990, while the most powerful ProArt P16 configuration goes up to Rs. 6,49,990.

What makes these ProArt laptops different?

The ProArt P16 and P14 are made for professionals who work with large media files, 3D scenes or local AI models. Local AI means certain supported tasks can run on the laptop itself instead of sending files to a cloud service.

For example, a video editor may use AI tools to organize clips or assist with editing. A designer may work with image-generation tools while keeping sensitive project files on their own machine. This does not replace cloud services, but it gives users more flexibility and control.

Both laptops use NVIDIA RTX Spark N1X hardware, combining NVIDIA graphics with an NVIDIA Grace CPU. ASUS says the machines support more than 1,000 AI-accelerated applications and workflows, including tools used for content creation and development.

ASUS ProArt P16 features and specifications

The ProArt P16 is the larger and more powerful model. It has a 16-inch 4K ASUS Lumina Pro OLED touchscreen with a 120Hz refresh rate and Pantone Validation for colour accuracy.

Its RTX Spark N1X platform includes a 20-core CPU and a 6,144-core GPU. ASUS is offering the laptop with up to 128GB of unified memory, which means the processor and graphics system can access the same high-speed memory pool. This can be useful for larger AI models, complex 3D work and demanding editing projects.

The P16 includes a 99Wh battery, weighs around 1.77kg and is 12.9mm thin. It also features an ASUS HapticPad, which gives touch-based feedback while using the trackpad.

In India, the 64GB memory and 1TB SSD variant costs Rs. 4,99,990. The 128GB and 1TB SSD version is priced at Rs. 6,49,990. A 48GB configuration is expected later.

ASUS ProArt P14 features and specifications

The ProArt P14 is built for professionals who want a more portable machine. It carries a 14-inch 3K ASUS Lumina Pro OLED touchscreen with a 120Hz refresh rate and Pantone Validation.

It uses an RTX Spark N1X configuration with an 18-core CPU and a 5,120-core GPU. The Indian variant comes with 24GB of unified memory and a 1TB PCIe 4.0 SSD.

The P14 weighs around 1.48kg and measures 13.9mm in thickness. Its 90Wh battery is smaller than the P16’s, but still substantial for a portable creator laptop. It also gets the HapticPad and ASUS ProArt Creator Hub software for managing settings and creative workflows.

The ProArt P14 is priced at Rs. 3,29,990. A Neo White version will be available later.

Competition and who should buy them

At these prices, the ProArt range competes with Apple MacBook Pro models, Dell Precision workstations, Lenovo ThinkPad P-series laptops and premium Windows creator machines.

The P14 makes more sense for a photographer, designer or developer who travels often. The P16 is better suited to users handling longer video edits, heavier 3D projects or large local AI workloads.

These laptops are unlikely to be practical purchases for students or casual users. Their value depends on whether buyers can genuinely use the advanced graphics, large memory and AI-focused capabilities.

Facts Input and Image

TRAI has announced two important changes that could affect both telecom customers and operators in India. One focuses on what happens when a user has a billing issue, network problem or unresolved service request. The other updates the behind-the-scenes systems that allow calls and data to move between different telecom networks.

Together, the changes signal a move towards always-available customer support and modern internet-based telecom infrastructure.

Complaint centres must remain available round the clock

Under the Telecom Consumers Complaint Redressal Fourth Amendment Regulations, telecom companies and larger internet service providers must make their complaint centres available 24 hours a day, every day of the week.

Earlier, complaint centres were required to operate for 16 hours daily. Now, companies can use human representatives, automated systems, AI agents or a combination of these methods. However, human support must still be available for at least 16 hours each day.

There is one important safeguard. Customers must be told when they are speaking with an AI agent, and technology-led systems must operate with human oversight.

For a user, this could mean being able to report a suddenly inactive SIM, failed recharge or broadband outage at midnight through an app, chatbot or automated call system. Straightforward issues may be handled quickly by an AI tool, while complicated complaints should move to a human representative.

More ways to complain, but a shorter appeal window

TRAI has also widened the ways in which users can register complaints, file appeals, make service requests or ask service-related questions. Telecom apps are now part of the complaint process alongside call centres, websites and web portals.

This is useful for customers who prefer tracking a ticket on an app instead of waiting on a customer-care call. The rules also require accessibility support for persons with disabilities through dedicated helpdesks, helplines or assistive technology.

There is a change users should remember. The time available to challenge a complaint decision has been reduced from 30 days to 15 days. In return, the appellate authority must communicate its final decision within 15 days of receiving an appeal.

TRAI has also introduced feedback surveys after a complaint or appeal is closed. Operators will need to publish quarterly results from these customer-satisfaction surveys.

Operators face tougher checks and penalties

For telecom operators, the rules increase compliance work. They must maintain proper complaint records, submit performance reports and bring complaint data and customer feedback before their CEO or board every quarter.

TRAI can review grievance systems through audits, inspections, performance reports and user feedback. Financial disincentives can apply when complaints or appeals are wrongly handled, or when reports are delayed.

This may push operators to invest more in customer-service software, trained staff and AI systems. The risk is that companies may use automation mainly to cut costs. The real measure of success will be whether users can reach a capable human when an AI agent cannot solve the problem.

IP-based interconnection becomes the new direction

In a separate move, TRAI has overhauled telecom interconnection rules. Interconnection is the system that lets an Airtel user call a Jio number, or a Vi customer connect with someone on another network.

From January 1, 2027, every new interconnection must use Internet Protocol, or IP-based, technology. Existing E1 and TDM-based interconnection systems must shift to IP-based systems in phases within three years.

Think of it as replacing older, fixed voice-network equipment with a more flexible digital system. TRAI says the change can improve bandwidth use, call quality and overall call performance.

The rules also move traffic handling towards licensed service area-level connection points. This could simplify routing, reduce delay and improve reliability, though operators will need to upgrade networks and manage the migration carefully.

Facts Input- 1, 2, 3, 4, 5

E2E Networks has launched Blaze, a pay-per-token artificial intelligence inference service for open AI models. The product is aimed at developers and businesses that want to use powerful AI models through an application programming interface, or API, without renting and managing GPUs themselves.

The launch is important because many Indian companies are moving from AI experiments to real products. A chatbot, document-reading tool or coding assistant may work well in a pilot, but running it for thousands of users requires reliable infrastructure, speed and predictable billing. Blaze is designed to address that production stage.

What is Blaze AI inference service

Blaze gives users access to supported open AI models through a single API that follows the OpenAI-compatible format. This can make adoption easier for developers who already use software tools built around that format.

E2E Networks says Blaze runs on NVIDIA GPU infrastructure hosted in India and uses NVIDIA DSX OS, a software layer for serving AI models at scale. The service is designed for tasks such as chat applications, document processing, voice tools, coding agents, image generation and video-related workloads.

The company has listed open-model families including NVIDIA Nemotron, Sarvam, DeepSeek, Qwen, GLM and Gemma. The exact models available, speeds and pricing may change as the platform develops.

How pay-per-token billing works

A token is a small unit of text that an AI model reads or produces. It can be a word, part of a word, punctuation mark or a short piece of code.

For example, when a user asks an AI assistant to summarize a 20-page report, the model first processes the text in the report. These are input tokens. It then creates the summary, which becomes output tokens.

Under a pay-per-token model, the customer pays according to the amount of text or other model usage processed. This is different from renting a GPU server by the hour. With a GPU rental, a company may pay even during quiet periods. With token-based billing, costs rise mainly when the AI service is actively used.

This can be useful for a small business with irregular demand. A legal-tech startup, for instance, may use Blaze to summarize contracts only when customers upload documents. It does not need to keep a dedicated GPU running all day.

Why it matters for Indian AI companies

For developers, the attraction is convenience. They can select a model, generate an API key and add AI features without handling server deployment, scaling or model updates themselves.

For larger organizations, data location may also matter. Companies working with sensitive customer data often consider where their AI workloads are processed. E2E is positioning Blaze as an India-hosted option, although businesses should independently review data handling, retention policies, security controls and legal compliance before using any AI service.

Blaze also gives developers a choice beyond closed-model platforms. Open models can be attractive when companies want more flexibility in model selection, fine-tuning or cost planning.

Similar AI inference technologies

Blaze enters a crowded market. OpenAI, Anthropic and Google offer API-based access to their own models, generally billed by usage. These services are popular for teams that want strong proprietary models and managed platforms.

For open-model inference, companies such as Together AI, GroqCloud, Hugging Face and OpenRouter offer different combinations of model access, fast inference, routing and developer tools. Cloud providers including Amazon Web Services, Google Cloud and Microsoft Azure also offer managed AI model services.

The key difference is not just price. Developers should compare model quality, response speed, context limits, uptime, data controls, regional hosting, API compatibility and support. A lower token price is useful only if the model performs well for the actual task.

What users should watch next

Blaze’s success will depend on clear pricing, reliable performance and a useful catalogue of models. Developers should test the same prompt across two or three services before making a long-term choice.

AI inference is becoming a basic business utility, much like cloud storage or payment processing. If Blaze can offer dependable India-based access to capable open models, it may become a practical option for startups and enterprises building AI products at scale.

Facts Input- E2E Announcement, E2E PDF, Stockssena, E2E Pricing

Google has announced Gemini 4 Carbon, a new high-end artificial intelligence model focused on difficult software engineering work and cybersecurity defence.

Carbon is part of Google’s Gemini 4 model family and follows Gemini 4 Argon, which was introduced earlier in October. The important detail for users is that Carbon is not yet widely available. Google is first giving access to a limited group of trusted cybersecurity defenders and partners before opening it to developers, businesses, and consumers.

What is Gemini 4 Carbon

Gemini 4 Carbon is designed to handle long, complex tasks that can involve many steps. Instead of answering a simple question or generating a short email, it is intended to work through larger software and security problems.

For example, a developer may ask the model to examine a large codebase, find the source of a hard-to-detect bug, suggest a fix, and explain why the problem occurred. In cybersecurity, it may help defenders identify weaknesses in software and propose ways to patch them.

Google says Carbon can continue working on complex engineering tasks over a long period, including multi-step bug investigation and code repair. The company also claims stronger performance in web development, scientific tasks, coding, and understanding different types of content such as text, images, and files.

The term “frontier model” simply means an AI model designed to perform at the highest available level for advanced tasks. It does not mean that the model is suitable for every everyday use case.

Carbon’s biggest focus is cybersecurity

Cybersecurity is the central theme of Gemini 4 Carbon. Google says the model performs strongly at finding software vulnerabilities, checking whether a weakness can be exploited, and helping create code fixes.

This can be useful for security teams that manage large amounts of software. A business may have thousands of lines of code and many third-party tools. Manually reviewing every possible weakness takes time. AI can help security experts prioritize what needs attention first.

However, the model should not be treated as a replacement for human security teams. Security decisions need careful review because an incorrect fix can create a new problem or affect a company’s systems.

Google says it has added safeguards to reduce misuse, resist prompt injection attacks, and lower the chance of unsupported claims. Prompt injection is an attempt to trick an AI system into ignoring its intended instructions.

Who can use Gemini 4 Carbon now

At launch, Gemini 4 Carbon is available only to a small set of cybersecurity defenders and trusted partners through Google’s Fairwind Program.

Google has said it will gradually expand access after collecting feedback and testing its safeguards. Developers, businesses, and regular consumers will have to wait for wider availability. Google has not shared a confirmed public release date.

This restricted launch makes sense because a model that is highly capable at cybersecurity work needs stronger safety checks than a general-purpose writing assistant.

Gemini 4 Carbon price

Google has announced an introductory API price of $2 per one million input tokens and $10 per one million output tokens.

A token is a small piece of text processed by an AI model. Input tokens are the words, files, or instructions sent to the model. Output tokens are the model’s response, including its internal reasoning and generated text.

Google says cached input tokens will receive a 95 percent discount. After the introductory period, the listed price is expected to rise to $4 per one million input tokens and $20 per one million output tokens.

This is developer pricing, not a consumer subscription price. Since Carbon is not yet broadly available, users cannot simply buy access through the Gemini app today.

Competition and real-world impact

Gemini 4 Carbon enters a competitive market where OpenAI, Anthropic, Microsoft, and other AI companies are also developing models for coding, research, and security work.

Its success will depend less on benchmark scores and more on whether developers and security teams find it reliable in real environments. If it can help find bugs faster, improve secure coding, and reduce repetitive security work, Carbon could become an important tool for enterprises.

Facts Input- 1, 2, 3

Artificial intelligence is moving beyond chatbots and basic writing tools. India’s technology companies are now trying to use it for everyday business work, from building software and managing IT operations to handling customer data and forecasting demand.

HCLTech, Coforge, and Google Cloud have announced new offerings with that goal. Their ideas are different, but each is aimed at reducing slow, repetitive work that often holds businesses back.

HCLTech’s nano GCC is a smaller route to enterprise AI

HCLTech has launched an AI-powered nano Global Capability Centre, or nano GCC, with Amazon Web Services. A GCC is usually a dedicated technology and operations hub set up by a large company in another country. It can handle software development, data work, finance support, customer operations, and more as per its Press release.

A traditional GCC can take time and money to build. HCLTech’s nano GCC model is designed to start smaller, with focused teams working on one defined business problem. If it works well, the company can expand the model gradually.

For example, a mid-sized overseas retailer may want to use AI to predict product demand or automate IT support but may not be ready to set up a large India office. HCLTech’s nano GCC could offer a lower-risk starting point.

The service combines HCLTech’s consulting and delivery teams with AWS cloud services. It will initially be supported through HCLTech’s India delivery network and its Lucknow centre of excellence. The larger impact could be faster adoption of AI by companies that previously saw large technology projects as too expensive or complex.

Coforge wants software development to work like a factory

Coforge has introduced what it calls an Autonomous Software Factory. The name sounds futuristic, but the central idea is straightforward reported the company.

Software projects involve many repeated tasks – writing code, testing it, checking for bugs, reviewing changes, and preparing releases. Coforge says its new model uses specialized AI agents to handle some of these tasks in parallel within a controlled environment.

An AI agent is software designed to carry out a specific task with limited human input. In this case, one agent may help write code while another checks tests or reviews quality. Human engineers would still make key decisions about product design, security, and final approval.

The potential benefit is speed. A bank updating a mobile app, for instance, could reduce the time spent on routine testing and code checks. But the real test will be quality. Faster software delivery means little if errors, security gaps, or compliance problems increase.

Coforge is competing in a market where global IT firms are also building AI-led engineering services. Its success will depend on whether its system produces reliable results for large enterprise clients.

Google Cloud focuses on small and mid-sized businesses

Google Cloud used its Cloud Day India 2026 event to show how small and mid-sized businesses can apply AI without needing a huge technology team.

Many smaller companies still struggle with data spread across spreadsheets, emails, billing systems, and customer records. Google Cloud’s pitch is that AI tools can connect this information and help staff get answers or complete tasks faster.

The company demonstrated a mix of Gemini models, Google Workspace, analytics tools, and cloud services. An apparel company such as Siyaram’s, for example, is using AI-based analytics to forecast demand across more than 40,000 products and support marketing work.

For a smaller business, the practical use could be simpler. A wholesaler could study sales patterns before placing an order. A service company could summarize customer requests and identify common complaints. The benefit is not replacing people. It is cutting time spent on repetitive work and helping teams make quicker decisions.

The bigger impact

These announcements show that business AI in India is becoming less about experimentation and more about solving specific operational problems.

HCLTech is offering a compact path for enterprises to build AI operations. Coforge is targeting the software-development cycle. Google Cloud is looking at the needs of smaller businesses that need useful tools without major IT investment.

The competition will be intense, with cloud providers, IT service firms, and software companies all chasing the same opportunity. For customers, the best choice will not be the tool with the biggest claim. It will be the one that saves time, protects data, and delivers a clear business result.

As discussed earlier, Apple has finally brought touch controls to the MacBook Pro. It is a big shift for a company that stayed away from touchscreen laptops for years, even while Windows makers made them common.

The new MacBook Pro with PROLED XDR Display is aimed at people who edit videos, design graphics, make music, or work with demanding software. It is available in 14-inch and 16-inch sizes, with prices in India starting at Rs. 3,49,900, as per the press release.

However, there is an important detail for buyers. Apple has also launched a separate 14-inch MacBook Pro with the newer M6 chip. The touchscreen model does not use M6. Instead, it comes with the higher-end M5 Pro or M5 Max chips.

Touchscreen MacBook Pro – What is new

The biggest talking point is simple – you can now tap, swipe, scroll, and pinch directly on a MacBook screen.

For everyday use, that could mean quickly zooming into a photo, moving a slide in a presentation, or scrolling through a long webpage with a finger. For creative users, the benefit may be larger. A video editor could make a quick adjustment on a timeline, while a designer could work directly on artwork without relying only on the trackpad.

Apple pairs touch support with its new PROLED XDR display. It uses tandem OLED technology, which is designed to deliver deep blacks, strong contrast, and better brightness control. Apple says the screen can reach up to 2,000 nits of peak brightness and supports a refresh rate of up to 120Hz.

The touchscreen MacBook Pro also brings Dynamic Island to the Mac. It can show quick updates, music controls, calls, and other small tasks near the top of the display.

M5 Pro and M5 Max power the touch models

The touchscreen MacBook Pro is built around M5 Pro and M5 Max chips, not the standard M6 chip. That may sound confusing at first, but the product positioning is quite clear.

The M5 Pro and M5 Max versions are made for heavier professional work, such as 8K video editing, 3D animation, large design projects, and software development. Apple offers up to 128GB of unified memory and up to 16TB of storage on these models.

In India, the 14-inch touchscreen MacBook Pro with M5 Pro starts at Rs. 3,49,900. The 16-inch M5 Pro version starts at Rs. 4,09,900. M5 Max configurations cost more, beginning at Rs. 5,49,900 for the 14-inch model.

How it differs from the MacBook Pro with M6

The M6 MacBook Pro is a separate 14-inch model for buyers who want newer processor technology at a lower entry price. It starts at Rs. 2,39,900 in India.

Unlike the touchscreen version, the M6 model retains a non-touch Liquid Retina XDR display. Its main appeal is performance, battery life, and newer wireless connectivity rather than a redesigned screen experience.

Apple says the M6 chip offers faster graphics and improved on-device AI processing compared with M5. It also includes Wi-Fi 7, Bluetooth 6, and up to 24 hours of claimed battery life.

Put simply, the touchscreen MacBook Pro is the more premium display-and-creative-work machine. The M6 MacBook Pro is the more practical option for students, developers, office users, and creators who want strong performance but do not need touch controls or the OLED panel.

Competitors and buying view

Windows laptops from brands such as Lenovo, HP, Dell, and ASUS have offered touchscreens for years, often at much lower prices. Apple’s advantage is not that it introduced touch first. Its bet is that macOS, Apple silicon, OLED quality, and a refined touch experience together will appeal to professionals.

For most people, the M6 MacBook Pro looks like the sensible choice. But if you work with colour-sensitive visuals, detailed creative tools, or simply want Apple’s first touchscreen laptop, the PROLED XDR model is the more exciting machine.

Apple has refreshed two of its most popular Macs in India with the new M6 chip. The 14-inch MacBook Pro with M6 and the 24-inch iMac with M6 are now available for pre-order, with deliveries and store availability set to begin on November 6.

The two Macs are meant for different buyers. The MacBook Pro is for people who need performance away from a desk, while the iMac is built for users who want a large display and an all-in-one desktop for their work from home setup.

14-inch MacBook Pro with M6

The new 14-inch MacBook Pro starts at Rs. 2,39,900 in India. It uses Apple’s M6 chip with a 12-core CPU and 12-core GPU.

Apple says the M6 delivers up to 30 percent faster graphics performance and up to 25 percent faster on-device AI work than the previous M5 chip. For buyers moving from an M1 MacBook Pro, the difference should be much larger, especially in editing, coding, 3D work, and demanding multitasking.

The laptop supports up to 24 hours of battery life, according to Apple. It also adds Wi-Fi 7 and Bluetooth 6 for newer wireless connectivity.

Other familiar MacBook Pro features remain in place, including the Liquid Retina XDR display, a 12MP Center Stage camera, six-speaker audio, and a choice of Space Black or Silver finishes.

For a video editor, this machine could make it easier to edit footage while travelling. A developer may benefit from faster code compilation, while a student can use the extra battery life for a full day of classes and project work.

24-inch iMac with M6

Apple has also updated its 24-inch iMac with the M6 chip. It starts at Rs. 1,74,900 for the 10-core CPU and 10-core GPU version. A model with a 12-core CPU and 12-core GPU starts at Rs. 1,99,900.

The iMac keeps its slim all-in-one design, which means the computer, display, camera, speakers, and microphones are built into one unit. This makes it a simple option for a home office, shop counter, small business, or student desk.

It has a 24-inch 4.5K Retina display with 500 nits of brightness. Apple says the M6 iMac can offer up to 1.5 times faster performance than the M4 iMac in selected tasks, while graphics work such as photo editing can see a bigger jump.

The new iMac also adds Wi-Fi 7, Bluetooth 6, up to four Thunderbolt 4 ports, a 12MP Center Stage camera, and a three-microphone array. It is available in seven colours – blue, green, pink, yellow, purple, orange, and silver.

Apple’s focus on local AI and the future

Both new Macs are built around Apple’s push for on-device AI. In simple words, the computer can handle some AI tasks directly on the device instead of sending every request to a cloud server.

The M6 chip includes faster graphics hardware and a Dual 16-core Neural Engine, which is designed to speed up AI-related work. Apple is pairing the new hardware with macOS 27 and its next-generation Apple Intelligence features.

Apple has not announced its next Mac roadmap for India. Still, these launches show where the company is heading – faster Apple silicon, more AI work on the device, and newer wireless standards across its Mac lineup.

Competition in India

The MacBook Pro will compete with premium Windows laptops such as Dell XPS models, ASUS ProArt laptops, and high-end HP Spectre devices. These machines often offer powerful processors and dedicated graphics options, but Apple’s advantage is its close connection between Mac hardware, macOS, iPhone, iPad, and other Apple services.

The iMac faces a different kind of competition. Buyers can choose an all-in-one Windows PC or build a desktop with a separate monitor. The iMac stands out for its clean design, colour choices, display quality, and simple setup, though it offers fewer upgrade options after purchase.

Conclusion

Apple’s M6 refresh gives Indian buyers two clear choices. The 14-inch MacBook Pro is for users who need a powerful portable computer, while the 24-inch iMac is for those who want an elegant desktop with a large display.

Pre-orders begin at 10.40 PM IST on October 28, and both models will be available from November 6.

Key takeaways

• The 14-inch MacBook Pro with M6 starts at Rs. 2,39,900.
• The 24-inch iMac with M6 starts at Rs. 1,74,900.
• Pre-orders in India begin on October 28.
• Both models will be available from November 6.
• The M6 chip brings faster performance, on-device AI features, Wi-Fi 7, and Bluetooth 6.
• The MacBook Pro is designed for portable professional work, while the iMac suits fixed desktop setups.

India’s space programme is moving on several fronts at once. ISRO is preparing for the GSLV-F18 mission carrying the NVS-03 navigation satellite on October 30, while its future launch systems and lunar plans are being presented at ESTIC 2026 in New Delhi.

These projects may sound separate, but they connect to one larger goal. ISRO wants India to have stronger navigation services, heavier launch capability, a space station, lunar exploration missions, and eventually an Indian landing on the Moon by 2040.

GSLV-F18 and the NVS-03 navigation satellite

The GSLV-F18 mission is expected to launch NVS-03, the third satellite in India’s second-generation navigation satellite series. It will support NavIC, India’s own regional navigation system.

NavIC works in a similar way to GPS. Satellites send precise timing signals, and a receiver uses those signals to calculate its position. This can help with vehicle tracking, transport operations, disaster response, marine navigation, smartphones, and strategic services.

NVS-03 is important because India needs a dependable set of navigation satellites in orbit. A functioning constellation improves the continuity and reliability of location and timing services.

The mission is scheduled for October 30 from the Satish Dhawan Space Centre in Sriharikota. Launch schedules can change because every system must clear final checks before liftoff.

What ISRO is showing at ESTIC 2026

The Emerging Science, Technology and Innovation Conclave, or ESTIC 2026, is being held in New Delhi from October 27 to 29. ISRO is using the event to explain the technology behind its longer-term plans.

One major exhibit is the proposed Next Generation Launch Vehicle, or NGLV. This future heavy-lift rocket is being designed to place payloads of more than 30,000 kg into low Earth orbit.

Low Earth orbit is the region where many Earth-observation satellites, communication satellites, and future space-station modules operate. A vehicle that can carry heavier payloads could reduce the number of launches needed for large missions.

ISRO says the NGLV is being developed as a partially reusable rocket using liquid oxygen and methane propellants. Reusability means part of the rocket may be recovered and used again, which could lower launch costs over time.

Chandrayaan-4 and Chandrayaan-5 explained

ISRO is also displaying its future lunar plans at ESTIC.

Chandrayaan-4 is India’s planned lunar sample-return mission. Its aim is to land on the Moon, collect samples using robotic systems, and return those samples safely to Earth. Scientists could then study lunar soil and rocks in laboratories using equipment too large to send to the Moon.

Chandrayaan-5, also known as the Lunar Polar Exploration Mission or LuPEX, is a joint mission between ISRO and Japan’s JAXA. ISRO is developing the lander, while JAXA is building the rover. The mission will study lunar material, including possible water ice, near the Moon’s south polar region.

Neither Chandrayaan-4 nor Chandrayaan-5 is a crewed mission. However, both will help India build knowledge and technology needed for its longer-term human lunar landing ambition.

The larger plan ahead

ISRO’s Space Vision 2047 sets a broad direction. It includes the Bharatiya Antariksh Station, planned for operationalization by 2035, continued Gaganyaan human-spaceflight work, new launch vehicles, and an Indian astronaut landing on the Moon by 2040.

The NVS-03 launch is a near-term mission with practical value for navigation. The NGLV and Chandrayaan missions represent the next phase, where India is building the capability to lift heavier spacecraft, conduct deeper lunar science, and support human exploration.

Conclusion

The upcoming NVS-03 mission and ISRO’s ESTIC 2026 showcase reveal two sides of India’s space programme. One is focused on improving services people and industries can use today. The other is preparing for much larger missions that may shape India’s role in space over the next decade.

Key takeaways

• ISRO plans to launch NVS-03 aboard GSLV-F18 on October 30.
• NVS-03 will support India’s NavIC navigation satellite system.
• ESTIC 2026 features ISRO’s proposed NGLV, designed for payloads above 30,000 kg to low Earth orbit.
• Chandrayaan-4 aims to bring lunar samples back to Earth.
• Chandrayaan-5 or LuPEX is an ISRO-JAXA mission focused on lunar polar exploration.
• India’s long-term goal is to land an astronaut on the Moon by 2040.

Facts Input- 1, 2, 3, 4, 5

Small businesses often assume cybercriminals are interested only in banks, large companies, or government networks. The latest Kaspersky findings tell a different story.

Backdoor detections on systems used by Indian small and medium businesses rose 52.1% year-on-year in the first half of 2026, according to Kaspersky data. The company detected 4,52,351 backdoors between January and June, compared with 2,97,412 in the same period last year.

For a small business, even one compromised computer can create serious trouble. Customer records, payment details, invoices, employee data, and access to business email may all be at risk.

What the Kaspersky report means

A backdoor is a hidden way for an attacker to enter a computer or network without using the normal login process. Once it is installed, the attacker may return later to steal data, install more malware, or move to other systems inside the business.

Kaspersky also recorded 37,38,051 attack attempts against Remote Desktop Protocol, or RDP, systems used by Indian SMEs during H1 2026. RDP allows employees or IT teams to access a computer remotely. It is useful for work, but it can become dangerous when passwords are weak, accounts are exposed online, or access is not properly secured.

The number of RDP attacks was lower than the previous year, but the volume remains high. It works out to roughly 20,650 attempts a day.

The report does not mean every attempt led to a successful breach. Still, it shows that smaller companies are being scanned and targeted regularly.

Why SMEs are attractive targets

Smaller businesses may have fewer IT staff, limited security budgets, and older software that is not updated on time. Attackers look for these gaps because one stolen email password or unpatched website can open the door to a larger attack.

Take a small retailer as an example. A staff member receives a fake invoice by email and opens the attachment. Malware may enter the computer, steal saved passwords, and give attackers access to the company’s billing system.

The damage may not be visible immediately. A backdoor can sit quietly while criminals collect information or wait for a more profitable moment to strike.

Simple steps that make a real difference

Cybersecurity does not always require expensive tools. A few basic habits can sharply reduce the risk.

First, turn on multi-factor authentication for email, cloud storage, accounting software, remote access, and administrator accounts. This adds an extra verification step after the password, making stolen passwords less useful.

Next, update operating systems, browsers, business software, plugins, and website tools quickly. Attackers commonly use known software weaknesses that have already been fixed by vendors.

Businesses should also review remote access. If RDP is not needed, disable it. If it is needed, limit access to authorized users, use multi-factor authentication, and avoid exposing it openly to the internet.

Back up essential data regularly and test whether those backups can actually be restored. Keep at least one secure backup separate from the main network. This is especially useful if ransomware encrypts business files.

Finally, train employees to pause before clicking links, opening attachments, or sharing login codes. A five-minute check can prevent a costly incident.

What to do after suspicious activity

If a business notices unusual logins, unfamiliar software, missing files, or unexpected password-reset messages, it should act quickly. Disconnect the affected device from the network where possible and contact a qualified IT security professional.

Indian businesses can also report cyber incidents to CERT-In. Keeping records of suspicious emails, login alerts, and affected systems can help investigators understand what happened.

Apple has unveiled a redesigned iPad mini with an OLED display, a faster A20 Pro chip and water and dust resistance. The screen grows to 8.5 inches, while the tablet keeps a compact size that’s easy to carry and hold.

The update also brings a higher starting price. That makes the new iPad mini a more capable small tablet, but buyers will want to weigh its portability against the larger screens available on the iPad Air and other tablets.

iPad mini features and specifications

The new Super Retina XDR display uses OLED technology, which can show deeper blacks and stronger contrast than the LCD screen on the previous iPad mini. It supports up to 1,200 nits of peak brightness for HDR content. A nano-texture display option is available on selected storage models to reduce glare.

Apple has fitted the tablet with its A20 Pro chip. The company says it brings improvements to graphics and AI-related tasks compared with the previous generation. In everyday use, that could mean smoother gaming, faster photo editing and more room for demanding apps.

The design is 5.4 mm thin and has an IP67 rating for water and dust resistance. Other updates include a 12MP Center Stage front camera placed along the landscape edge, Wi-Fi 7, Bluetooth 6 and a new Acoustic Display audio system. The iPad mini supports Apple Pencil Pro and Apple Pencil USB-C.

Price and availability in India

The new iPad mini starts at Rs. 82,900 in India. Pre-orders begin on October 28, 2026, with availability from November 6. Apple’s US starting price is $699.

That starting price puts the mini in a premium bracket for a tablet of this size. Buyers should check the price of the storage and cellular versions they want, as those configurations cost more.

How does it compare with other tablets?

Compared with the previous iPad mini, the new model’s main changes are its OLED screen, A20 Pro chip, thinner design and IP67 rating. The older model may still suit buyers who want a compact iPad and can find it at a lower price.

The iPad Air offers a larger screen that gives more room for documents, drawing and split-screen work. The mini is easier to carry and use with one hand, but its smaller display is less comfortable for long work sessions. Larger Android tablets, including Samsung’s Galaxy Tab range, are another option for people who prefer a bigger screen.

Is the new iPad mini worth considering?

The new iPad mini stands out for people who want a powerful tablet they can carry almost anywhere. Its OLED display and added durability make it a more substantial upgrade than a routine chip refresh.

The higher price is the main trade-off. If you mostly read, travel, take notes or play games on the move, the compact format may be worth it. If you need a roomy screen for work, an iPad Air or larger tablet may be a better fit.

Facts Input- 1, 2

Disclaimer

Prices and availability can vary by configuration and seller. Check Apple India or an authorized retailer for current details. This article is for general information.

Tata Communications plans to invest $400–450 million in a new fibre network designed to connect India’s AI and data centre hubs. The company calls it an “AI Super Highway”. The plan is to lay around 10,000 km of fibre in stages, starting with a corridor linking Mumbai, Pune, Hyderabad and Chennai as per Tata’s Press release.

The project is aimed at the growing need to move large amounts of data quickly between computing centres. As more companies build infrastructure for AI and cloud services, reliable connections between those sites become part of the picture.

What the network is meant to do

AI systems rely on computing power, but the data used to train or run them often needs to travel between different locations. Fibre carries that information. A fast, dependable connection can help data centres exchange it with less delay.

Tata Communications says the new network will be built for high capacity, low delay and resilience. It plans to connect data centre clusters and AI hubs to international cable landing stations, then link them with its global network. The company says the project will be rolled out in three phases over three to five years.

For example, a business using computing facilities in both Hyderabad and Mumbai could use the network to move data between them. The proposed connections are also intended for cloud providers, AI companies and large businesses.

Where the investment will go

The first phase is planned for the Mumbai–Pune–Hyderabad–Chennai route. Later phases are expected to extend towards eastern and western India, including Visakhapatnam, Bhubaneswar, Jamnagar and GIFT City.

Tata Communications has said it expects to fund the project through operating cash flows. In an interview with ET, a company executive said the Mumbai–Chennai route is being designed for a round-trip delay of 15–16 milliseconds. That is a company target, not a reported result from a completed network.

Why the plan matters

The investment is a bet that data centre connectivity will become a larger business as AI and cloud computing expand. Tata Communications says the network will complement its existing terrestrial and subsea infrastructure.

There is still work ahead. Laying fibre requires route planning, permissions and construction, and the company has not announced customer contracts for the proposed network, according to Moneycontrol. The project’s impact will depend on whether the planned capacity is built on schedule and attracts enough demand.

Disclaimer

The investment, route and performance figures described here are based on company plans and media reports. Timelines and targets may change. This article is for general information and is not investment advice.