NVIDIA has released new open models and simulation libraries to support global robotics research and development. The announcement, made at the Conference on Robot Learning (CoRL) in Seoul, includes the open-source Newton Physics Engine, the Isaac GR00T N1.6 foundation model and new Cosmos world foundation models.

The updates aim to accelerate the way robots learn, reason, and transfer skills from virtual to real environments. Rev Lebaredian, vice president of Omniverse and simulation technology at NVIDIA, said, “Humanoids are the next frontier of physical AI, requiring the ability to reason, adapt and act safely in an unpredictable world.”

Newton Sets New Benchmark 

The Newton Physics Engine, developed with Google DeepMind and Disney Research, is now available in NVIDIA Isaac Lab. Managed by the Linux Foundation, the engine supports complex actions such as walking on uneven ground and handling delicate objects.

ETH Zurich, Technical University of Munich and Peking University are among the first adopters. 

NVIDIA has also announced Isaac Lab – Arena, an open-source policy evaluation framework codeveloped with Lightwheel. The tool will enable large-scale testing of robotic skills in diverse simulated environments.

Robot Reasoning and Training

The Isaac GR00T N1.6 model integrates NVIDIA’s Cosmos Reason, which helps robots turn vague instructions into step-by-step plans using prior knowledge and physics-based reasoning. The model, available on Hugging Face, also supports multi-task operations such as opening heavy doors.

NVIDIA’s Cosmos world foundation models, which have been downloaded more than 3 million times, have been updated to generate large-scale training data. Cosmos Predict 2.5 and Cosmos Transfer 2.5, due soon, will offer longer video generation, multi-view outputs and faster synthetic data creation.

Boston Dynamics used NVIDIA’s new grasping workflow in Isaac Lab 2.3 to train its Atlas robots to improve manipulation skills. Other companies adopting NVIDIA’s Isaac and Omniverse platforms include Agility Robotics, Figure AI, Franka Robotics, Techman Robot and Solomon.

NVIDIA also unveiled new AI infrastructure, including the GB200 NVL72 system, RTX PRO servers and Jetson Thor for real-time on-robot inference. These tools are being adopted by partners such as Figure AI, Meta, Google DeepMind and the RAI Institute.

Lebaredian added, “With these latest updates, developers now have the three computers to bring robots from research into everyday life, with Isaac GR00T serving as the robot’s brain, Newton simulating their body and NVIDIA Omniverse as their training ground.”

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California-based UST and Kaynes Semicon, a subsidiary of Kaynes Technology, will set up a ₹3,330 crore semiconductor manufacturing facility in Sanand, Gujarat. The joint venture will support India’s ‘Make in India’ initiative and focus on outsourced semiconductor assembly and testing (OSAT).

The partnership combines UST’s digital engineering and AI expertise with Kaynes Semicon’s manufacturing experience. Both companies stated that the venture aims to enhance India’s semiconductor ecosystem, serving sectors such as electric vehicles, renewable energy, and consumer technology.

Krishna Sudheendra, CEO of UST, said, “Together, our two great companies will harness the strengths of the Indian market and build a formidable foundation for the country to become a key player in the global semiconductor industry.”

Kaynes Semicon CEO, Raghu Panicker, recently told AIM that the launch of its pilot chips will take place in the first week of October. This will be done from the Sanand OSAT facility, which will advance India’s semiconductor ambitions at a time when the industry is moving towards self-reliance and global competitiveness. 

Ramesh Kannan, executive vice chairman of Kaynes Technology India Ltd, said, “Kaynes Semicon’s collaboration with UST is a proud milestone for the ‘Make in India’ mission. Together, we are creating a platform that will set benchmarks for semiconductor assembly, testing, and innovation, not just for India but for the global market.”

Recently, Kaynes Semicon also entered into a partnership with Emerson to deploy Emerson’s NI Semiconductor Test System (STS) as its preferred platform across its test facilities in India. The platform will standardise testing of analogue, mixed-signal, RF, power and MEMS devices, helping to accelerate production and cut time-to-market. 

In parallel, Kaynes Electronics, another subsidiary of Kaynes Technology, plans to invest ₹352 crore in a manufacturing plant in Bhopal, which is expected to create more than 1,000 jobs. 

On the overseas front, Kaynes Semicon has also inaugurated its first international chip design centre in Muscat, Oman, focusing on extensive-scale integration (VLSI) design. The centre, funded by Oman’s government and established in partnership with its ministries, will support both front-end and back-end chip design and train 80–100 students annually in advanced semiconductor design. 

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OpenAI’s ChatGPT now lets users buy products directly in chat through its Instant Checkout feature, currently available for US users shopping on Etsy and soon expanding to Shopify merchants such as Glossier, Vuori, Spanx, and SKIMS.

Instant Checkout is now available for US ChatGPT Pro, Plus, and free accounts.

“Shopify merchants will be able to sell directly in ChatGPT,” said Shopify CEO Tobi Lütke in a post on X.  “We’ve been working with OpenAI for quite some time so people can search and buy products in chat, and it’s something we’ve had a hard time keeping quiet.”

The rollout is powered by the Agentic Commerce Protocol, an open standard co-developed with Stripe. ACP allows businesses to maintain control over transactions while enabling AI agents to securely facilitate purchases. It connects with any commerce backend or payment system and supports physical and digital goods, subscriptions, asynchronous purchases, multi-merchant carts, and in-store pickup options.

The ACP specification is available for businesses and AI agents to implement immediately. “Customers should be able to securely buy where they discover; businesses should be able to sell through new channels without giving up trust, brand, or control; and AI agents should be able to enable transactions without exposing customer credentials,” said Stripe in its blog post. 

The protocol is designed to connect with any commerce backend and payments infrastructure, allowing businesses to integrate once and distribute to any ACP-compatible AI agent. ACP also supports physical and digital goods, subscriptions, and asynchronous purchases, including features such as multi-merchant carts and in-store pickup options.

“Trust is essential. With AI agents now capable of initiating transactions on behalf of buyers, businesses need a way to confirm purchases, securely accept payment credentials, respond to new fraud signals, and update their risk models,” said Stripe.

Under ACP, the transaction process works as follows. The buyer selects a product and payment method. The AI agent collects payment details and requests checkout from the business. The business reviews and processes the transaction as the merchant of record, while the payment provider relays credentials securely through a tokenised system.

The protocol is open source under an Apache 2.0 license, allowing any business to implement it with compatible AI agents and payment providers.

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Anthropic on Monday announced the release of Claude Sonnet 4.5, its latest AI model for coding and agent-based tasks. The company said the model demonstrates improvements in reasoning, math, and long-duration task management.

“Claude Sonnet 4.5 is the best coding model in the world. It’s the strongest model for building complex agents,” the company said in its blog post. “It’s also the best model at using computers and shows substantial gains in reasoning and math.”

The model is available via the Claude API at the same pricing as Sonnet 4, $3 per million tokens for standard use and $15 per million for extended use.

Anthropic said that the Claude API has added context editing and memory tools to support longer tasks, and the Claude apps now allow code execution and file creation directly within conversations. Anthropic also released the Claude for Chrome extension for Max users on the waitlist.

Claude Sonnet 4.5 is also integrated into Claude Code, which now includes checkpoints to save progress and roll back to previous states, a refreshed terminal interface, and a native VS Code extension. 

Developers can access the Claude Agent SDK, which provides the infrastructure used internally to build Claude Code. “The Agent SDK gives you the same foundation to build something just as capable for whatever problem you’re solving,” the spokesperson said.

Claude Sonnet 4.5 achieved top scores on the SWE-bench Verified evaluation, which tests real-world software coding skills. On OSWorld, a benchmark for real-world computer tasks, the model scored 61.4%, up from 42.2% for Claude Sonnet 4. Early users reported improved performance across finance, law, medicine, and STEM domains.

The company emphasised safety and alignment improvements, noting reductions in misaligned behaviour such as sycophancy, deception, and power-seeking. The model is released under Anthropic’s AI Safety Level 3 framework, which includes classifiers to flag potentially dangerous content.

Anthropic also introduced a temporary research preview, “Imagine with Claude,” which allows users to see the model generate software in real time. It is available to Max subscribers for five days at claude.ai/imagine.

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Microsoft has launched Agent Mode in Excel and Word and Office Agent in Copilot chat, introducing what the company calls “vibe working” to Microsoft 365 Copilot. The features are designed to help users create spreadsheets, documents, and presentations through iterative, prompt-based collaboration with AI.

The rollout begins with limited availability. Agent Mode in Excel and Word is now available starting today for Microsoft 365 Copilot-licensed customers, as well as Microsoft 365 Personal or Family subscribers in the Frontier program. 

Office Agent in Copilot chat is currently offered to Microsoft 365 Personal or Family subscribers in the United States, where it works in English on the web.

“Agent Mode delivers AI that can ‘speak Excel’ natively,” said Sumit Chauhan, corporate vice president of Microsoft’s Office Product Group, in a blog post. She added that it combines the depth of Excel’s data structures with OpenAI’s latest reasoning models, aiming to make advanced modeling accessible to a wider range of users beyond experts.

In Excel, Agent Mode enables the AI to generate outputs, validate results, and repeat tasks until outcomes are verified. Microsoft says it democratises access to expert-level modelling, with tasks such as financial analysis, loan calculations, and household budgeting. According to Microsoft’s evaluation of the SpreadsheetBench benchmark, Copilot in Excel Agent Mode achieved 57.2% accuracy.

In Word, Agent Mode turns document creation into what Microsoft calls “vibe writing.” Users can issue prompts such as updating reports, cleaning up formatting, or drafting project summaries, while Copilot refines drafts, suggests edits, and asks clarifying questions.

Office Agent in Copilot chat, powered by Anthropic models, brings presentation and document creation into a chat-first interface. The tool can clarify user intent, conduct research, and generate presentations or documents. Microsoft says Office Agent addresses earlier gaps in AI slide creation.

For example, prompts can include creating a market trends deck, planning a restaurant pop-up kitchen, or preparing retirement savings plan slides. “Office Agent creates tasteful, well-structured PowerPoint decks and ready-to-use Word documents,” Microsoft noted.

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Lovable, a platform for building apps through prompts, launched Lovable Cloud and Lovable AI on Monday, aiming to make full-stack app creation more accessible.

The company said in a post on X that with the new update, “Anyone can now build apps with complex AI and backend functionality, just by prompting.”

Lovable AI, powered by Google’s Gemini models, allows users to add artificial intelligence features to their apps without setup, API keys, or separate billing. “Just ask Lovable to add AI capability to your app and it will do it for you,” the company said. The AI feature is free for all users until October 5.

Lovable Cloud provides a built-in backend that covers logins, databases, file uploads, and other behind-the-scenes requirements. According to the company, this integration means that “building full-stack apps is easier than ever.”

The company said that developers and entrepreneurs are already using Lovable to create revenue-generating businesses. Examples cited include Sabrine, who reached $456,000 ARR in three months with a women’s safety app; Lumoo, with €700,000 ARR in seven months from an AI content platform; and Rory, who reported £100,000 ARR in six months from a marketplace.

“Because now, with Lovable Cloud & AI, the hardest parts of building real apps are handled for you,” Lovable said. The team said it had spent months developing the update before making it available to all users this week.

In July, the company raised $200 million in a Series A round led by Accel, valuing it at $1.8 billion and making it an AI unicorn.

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Researchers at the National Institute of Technology (NIT) Rourkela have patented an AI model designed to improve vehicle-to-vehicle communication for making roads safer.

The patent, titled “Adaptive Contention Window Optimisation in VANETs using Multi-Agent Deep Reinforcement Learning for Enhanced Performance Model”, was filed by Dr Arun Kumar, assistant professor; Prof Bibhudatta Sahoo, Dr Lopamudra Hota, research graduate, from the department of computer science & engineering.

The model addresses a key challenge in Vehicular Ad-Hoc Networks (VANETs) — when multiple vehicles send messages simultaneously, congestion can delay or block crucial alerts. The AI-driven system uses multi-agent deep reinforcement learning to sequence communications, ensuring that time-sensitive messages, such as sudden braking alerts or emergency notifications, reach other vehicles without delay.

“In 2023, India reported around 480,000 road accidents and 172,000 deaths, many of which could be prevented using modern technologies. Our work is a step towards building safer roads and smarter cities,” Kumar said.

Sahoo added, “The patent represents a practical move toward vehicle-to-vehicle communication in India. By reducing congestion in VANETs, the model lays the groundwork for safer and more efficient traffic management. We invite researchers across institutions to collaborate with our lab on autonomous vehicle technologies.”

Potential applications of the technology include electronic brake lights, platooning, real-time traffic updates, emergency alerts, and on-the-move services such as restaurant or toll information. Experts say VANETs could also support future smart city systems by enabling autonomous vehicles to coordinate in real time.

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Agnikul Cosmos, a Chennai-based space tech startup, has announced plans to make its launch vehicles fully reusable, revealing the development at the International Astronautical Congress (IAC) 2025 in Sydney. 

The announcement follows the company’s validation of its engine design, autopilot, avionics and aerodynamic tests in its maiden controlled-ascent launch last year. Agnikul said its move aligns with the IAC theme of “Sustainable Space: Resilient Earth” and builds on patents secured in the United States, Europe and India.

The company said it will ensure no part of its rockets is left behind or expended.

Central to Agnikul’s plan is its patent on a combined launch vehicle and satellite system, supported by semi-cryogenic propellant technology. The company said these technologies will allow efficient refurbishment and cost-effective re-flights.

“We have consistently designed our vehicles to ensure that affordability and flexibility are never afterthoughts but are built in from day one,” said Srinath Ravichandran, co-founder and CEO of Agnikul Cosmos. 

He added that support from IN-SPACe and ISRO has enabled the company to explore rocket stage recovery and reuse.

Scaling for Commercial Use

Agnikul said its in-house facilities are driving efforts to make launch services more affordable and customisable, while ensuring economic scalability. 

“Our newly planned strategy enables cost efficiencies at scale, allowing us to deliver launch services at globally competitive prices for all small satellite missions,” said Moin SPM, co-founder and COO.

Last week, the company also opened an additive manufacturing facility in Chennai dedicated to aerospace and rocket systems. Agnikul stated that the facility will reduce production costs for space systems by 50% and support India’s position in the global space economy.

Agnikul Cosmos, incubated at IIT Madras, builds space transportation systems under the name Agnibaan, designed to carry small satellites into orbit on demand. 

The company launched India’s first private launchpad and completed its maiden controlled-ascent launch last year using in-house 3D-printed engines and autopilot algorithms.

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Sahamati Labs, the innovation arm of the Account Aggregator (AA) industry alliance, has partnered with Google Cloud India to embed AI into the AA framework. The collaboration marks the launch of an AI Centre of Excellence aimed at setting a global benchmark for financial inclusion.

The centre will focus on scaling inclusion through Indic language tools, embedding trust with fraud and identity safeguards, and boosting efficiency to make financial services faster and cheaper.

“At Google Cloud, we believe technology should be inclusive. By bringing our AI into India’s Account Aggregator framework, we are helping make financial services safer, more accessible, creating a model that can inspire financial ecosystems worldwide,” Sashi Sreedharan, managing director of Google Cloud India, said.

The partnership will use generative AI to build predictive insights, personalised recommendations, and fraud detection systems. It will also leverage Google Cloud’s privacy-preserving technologies to protect sensitive financial transactions. 

A key focus will be multilingual access, with Google Cloud enabling speech-to-text and text-to-speech features in multiple Indian languages to break literacy and language barriers.

The AA framework, seen as India’s next big digital infrastructure after UPI and Aadhaar, already supports consent-based data sharing for over 2.12 billion accounts.

“Its success depends on trust, inclusion, and innovation. By embedding AI at its core with Google Cloud, we are setting the stage for India to once again define a new global benchmark, this time for financial inclusion at scale,” BG Mahesh, chief executive of Sahamati said.

The companies said India aims to make the AA network the world’s strongest example of how AI and digital public goods can combine to transform finance, giving every citizen, regardless of language, literacy, or location, access to the digital economy.

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Subhash Choudhary, the co-founder and CTO of the Indian e-commerce startup Dukaan, revealed how the company transitioned from cloud services to bare metal servers in the interest of cost savings. 

Choudhary, in his book titled ‘The Accidental CTO’, stated that Dukaan drastically reduced its $80,000 per month bill by migrating from Amazon Web Services (AWS) to bare metal. 

Choudhary noted that using bare metal could save 10 to 20 times more for the same resources compared to cloud solutions. “That $80,000 AWS bill could become a $5,000 bare-metal bill,” he added.

While he stated that AWS provided the company with ease of maintenance, power, and speed, it came at a significant cost. “At every layer of our stack, we were paying a ‘convenience tax.’ We were paying AWS for the privilege of not having to manage the underlying hardware,” Choudhary said in the book. 

“In the early days, this tax was worth it. It allowed us to move incredibly fast. But now, that convenience was threatening to bankrupt us,” he added. 

The company carried out ‘Strangler Fig Pattern’ migration, which involved gradually shifting traffic from AWS to self-hosted infrastructure without downtime. 

He revealed that Dukaan was able to complete a ‘zero-downtime migration’ because the startup owned its own IP address space. 

“This IP address was our permanent, portable address on the internet. We could move house, but our address would stay the same. This was the key that unlocked our ability to migrate without our users ever knowing,” he said.

Dukaan then utilised the Strangler Fig Pattern, which involves gradually replacing a legacy system rather than performing a complete migration in one go. 

The startup chose Hetzner, the German-based bare-metal provider, and rented physical servers in data centres that were geographically close to their existing AWS regions. Choudhary, in an example, explained how the company chose a data centre in Helsinki, Finland, to replace their AWS cluster in Frankfurt, Germany. 

He also revealed that they utilised tools like k3s, a lightweight and powerful Kubernetes distribution, to simplify the process. “Over several weeks, we painstakingly built and tested our new, self-hosted Kubernetes clusters in nine new data centres around the world,” said Choudhary. 

Initially, the company shifted just 1% of its European traffic away from AWS to their bare metal cluster in Helsinki, and the remaining 99% continued to be served by the stable AWS infrastructure. 

After extensive monitoring of the system, the company gradually increased the traffic shifted to their bare metal servers, first to 10%, then to 25%, and eventually shifted 100% away from AWS. 

“Each step was carefully monitored. If we saw any issues, we could instantly shift all the traffic back to AWS with zero downtime,” Choudhary said.

“We then repeated this incredibly careful and deliberate process, region by region, over the next two months, until our entire global application was running on our own self-hosted, bare-metal infrastructure,” he added. 

Choudhary published his book openly on GitHub, sharing his experiences as Dukaan’s CTO along with several case studies related to the company’s tech stack. 

In addition to Dukaan, various companies over the years have reported significant cost savings by switching to bare metal servers. 

For example, OneUptime, the observability platform, estimated annual savings of $230,000 after moving to bare metal servers. In 2022, Basecamp projected total savings of $10 million over five years following the exit from cloud servers. 

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Switzerland-based Corintis, a semiconductor startup specialising in advanced chip cooling solutions, has secured $24 million in a Series A funding round. The funds will help the company scale its microfluidic cooling technology, which is already being tested by Microsoft in its latest cooling system, which the company claims is 3 times better than others.

The new investment, led by BlueYard Capital, will support Corintis’ expansion as it looks to address the thermal limitations of increasingly powerful chips. With AI technology demanding more energy and producing more heat, effective cooling solutions have become critical. 

With this, the startup has added Lip-Bu Tan, the CEO of Intel, to its board. The startup claims that its technology can improve cooling efficiency by up to 10 times compared to traditional methods, a breakthrough that could enable the next generation of AI chips.

Expansion and Future Growth

With the new funding, Corintis plans to expand its workforce from 55 to 70 employees by the end of the year and ramp up its production capacity. The company aims to manufacture over a million microfluidic cold plates annually by 2026, with the potential to scale further as demand for advanced AI chips grows.

Remco van Erp, co-founder and CEO of Corintis, explained that every chip is unique, like a cityscape of billions of transistors. Current cooling designs are too simplistic, relying on generic methods like copper blocks with parallel fins. 

Corintis’ solution uses precisely shaped micro-scale channels tailored to each chip, directing coolant to the most critical regions. This approach addresses the challenge of developing more efficient cooling systems within tight deadlines. 

With its innovative platforms such as Glacierware and Therminator, Corintis enables chip designers to optimise thermal performance. The company’s technology is poised to play a pivotal role in AI’s growing demand for computational power.

Corintis has already shipped over 10,000 cooling systems and secured eight-digit revenue since its founding in 2022. The company expects to significantly increase its revenue through early deployments with its technology customers.

“Cooling is one of the biggest challenges for next-generation chips,” said Tan, “Corintis is fast becoming the industry leader in advanced semiconductor cooling solutions to address the thermal bottleneck.”

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L&T Technology Services has announced an expanded partnership with Siemens Limited.

The deal aims to advance machine & line simulation and IIoT (Industrial Internet of Things) technology, setting a new benchmark for innovation within LTTS’ sustainability segment, which encompasses process engineering, discrete manufacturing and industrial products.

LTTS said in a release that through the collaboration it will utilise the digital technology portfolio of Siemens Limited to deliver simulation-driven automation and IIoT-enabled solutions for diverse sectors including automotive & transportation, industrial products, and process & plant engineering. 

By combining Siemens’ flagship platforms, TIA (Totally Integrated Automation) Portal, Industrial Edge, and Tecnomatix, integrated with LTTS’ AI-driven engineering expertise, the partnership will accelerate digital adoption, improve precision in system design, and drive faster, smarter decision-making across manufacturing ecosystems.

From enhancing design accuracy to enabling predictive and sustainable production at scale, the strengthened partnership positions LTTS at the forefront of creating intelligent and environmentally responsible industrial ecosystems worldwide, the company said. 

In the statement, Alind Saxena, president & executive director – mobility & tech, LTTS, said, “By focusing on robust solutions such as Machine & Line Simulation and IIoT Technology, we are empowering industries to achieve greater agility, actionable insights, and measurable business outcomes.”

Suprakash Chaudhuri, head of digital industries, Siemens Limited, said combining deep domain expertise with cutting-edge digital solutions can help co-create scalable, future-ready innovations that empower industries to thrive in a rapidly evolving world.

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In a move set to reshape access to AI-enabled devices in India, Priyank Kharge, Karnataka’s minister for electronics, IT, BT, and rural development & panchayat raj, announced the state’s plan to prioritise affordable AI machines for students and early-stage founders.

The government will work within procurement rules to launch credible pilots, Kharge said during the Startup Vision event at Cypher2025, India’s biggest AI summit. You’ll see what Karnataka has pushed for to ensure AI computers for all. Just wait until 18 November when we launch at the Bengaluru tech summit,” he added.

The initiative aims to democratise AI by providing students, researchers, and startups with affordable access to AI devices. 

Startups like Revrag, Skylark Drones, SatSure, and Soket AI participated in the event, pitching innovative ideas, including developing multilingual LLMs and drones for governance, and AI agents for streamlining BFSI onboarding. They expressed interest in collaborating with the government.

The conversation also touched on the challenges of compute infrastructure. A founder highlighted that on-device models running on consumer-grade hardware could reduce costs and latency for Indian use cases, but teams need a baseline kit to experiment.

“Technology isn’t the problem, but infrastructure is,” said one founder. They pointed out the GPU shortage, the friction in government procurement, and Bengaluru’s overstretched roads and metros as significant bottlenecks.

Startup Meets Government Realism

Founders advocated for a simpler path to proofs of concept, noting that many have developed agents for citizen services, triage tools for hospitals, and safety monitoring systems for factories. However, they lamented the bureaucratic hurdles that delay pilot projects.

Kharge acknowledged these constraints, explaining that the state must comply with transparency and procurement laws. “Any solution must prove three things—technical merit, price discipline, and scalability across thousands of gram panchayats,” he said.

However, Kharge left the door open for time-bound trials. “The government of Karnataka is happy to be your first customer, either through a pilot or procurement,” he stated, emphasising that pilot projects and public-procurement carve-outs could be used for well-defined and measurable innovations.

A Strategic Push for R&D

Kharge also highlighted Karnataka’s focus on structured research initiatives, including a possible extension of the Nipuna scheme to fund and retain advanced research talent. “This will position Bengaluru not just as a services hub but as a global centre for frontier AI R&D,” he noted.

When asked about data-sharing initiatives, Kharge acknowledged Karnataka’s collaboration with mobility agencies and city utilities to release operational data for unified commuter apps. However, he cautioned that some datasets would remain closed or tightly controlled. He encouraged startups to propose specific datasets like district-level crop-loss histories or claims gaps for evaluation.

Addressing Bengaluru’s Infrastructure Bottleneck

When Himanshu Upreti, cofounder & CTO at AI Palette, raised concerns about Bengaluru’s traffic, Kharge pointed to the central–state funding imbalance. “For every ₹100 Karnataka gives the Centre, we get back only ₹12,” he said. “Give me ₹25 or ₹50, and I’ll build better roads and create more jobs.”

The post Karnataka to Democratise AI Access for Students, Startups appeared first on Analytics India Magazine.

Amazon Web Services (AWS) has selected 42 Indian startups to participate in its AWS Space Accelerator: APJ 2025 program. The 10-week virtual initiative aims to help these startups advance their innovations in the space technology sector. 

This is part of the larger cohort with a total of 67 startups from Australia, India, and Japan. The program will conclude on November 28,  with startups showcasing their solutions to space agencies, investors, and industry leaders.

The program offers support, including up to $100,000 in AWS credits, business coaching, technical guidance, and mentorship. Clint Crosier, director of the aerospace and satellite business at AWS, highlighted the accelerator’s role in helping startups leverage cloud technologies to address complex challenges in space. 

“We’re proud to support these visionary companies as they leverage cloud technologies to solve complex challenges in space and back on earth, from designing new launch systems to climate resilience, space sustainability, and data accessibility,” he said.

India’s Space Sector 

The 2025 cohort reflects the growing significance of India’s space sector, which has been bolstered by government initiatives, such as the Indian National Space Promotion and Authorisation Centre’s (IN-SPACe) funding of approximately 5 billion rupees ($57.58 million) for space innovators. 

The selected startups are developing solutions across diverse space segments, such as geospatial analytics, satellite propulsion, and space sustainability.

These startups include Bengaluru-based  SkyServe, which offers in-space edge computing with its EdgeAI Suite to process Earth observation data onboard satellites, providing faster and lower-cost insights. 

Another participant, Axial Aero, is creating simulators for astronaut and pilot training, while Quantumspace is securing satellite communications with compact, quantum-safe Quantum Key Distribution (QKD) modules that integrate easily into existing spacecraft without costly redesigns. 

Cosmoserv Space is another company tackling space debris with a dual-spacecraft system that utilises AI, robotics, and refuelling depots to deliver scalable active debris removal.

The accelerator is delivered in collaboration with key partners, including IN-SPACe, the Australian Space Agency, and SKY Perfect JSAT Corporation, ensuring startups receive both technical and business expertise. 

Overall, the program operates in three primary space segments: geospatial applications (51%), launch and space infrastructure (42%), and simulation (7%).

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GitHub has announced the public preview of GitHub Copilot CLI, a new command-line interface that brings its AI-powered coding agent directly into developers’ terminals. The release is aimed at making Copilot’s assistance more seamless by removing the need for constant context switching between tools.

With the CLI, developers can now interact with GitHub Copilot synchronously and locally within their command line. The system integrates directly with GitHub, enabling access to repositories, issues and pull requests using natural language commands authenticated through a GitHub account.

The new tool extends beyond simple suggestions, offering agentic capabilities to plan, edit, debug and refactor code. Every action is previewed before execution, giving developers complete control. GitHub also highlighted the CLI’s MCP-powered extensibility, which allows users to run GitHub’s default MCP server and connect custom MCP servers for extended functionality.

Installation is straightforward, requiring only running an npm install command, authenticating with a GitHub account and using an existing Copilot Pro, Pro+, Business or Enterprise plan. 

According to the company, the CLI is particularly useful when exploring new codebases, implementing features directly from tracked issues or debugging projects locally. It positions Copilot not only as a coding assistant inside IDEs, but also as a terminal-native collaborator.

The feature is available across GitHub Copilot Pro, Pro+, Business and Enterprise plans. For organisation-managed accounts, administrators must enable the Copilot CLI policy for users to access it.By embedding Copilot deeper into the developer workflow, GitHub continues to advance its AI strategy. This can serve as an alternative to Gemini CLI or Claude Code for developers looking for a solution from Microsoft.

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The Mumbai-based Unity Small Finance Bank has collaborated with IBM to centralise and secure its Application Programming Interface (API) ecosystem.

Using the IBM Cloud Pak for Integration and the expertise of IBM Consulting in application management, Unity Bank has established a centralised API hub to manage internal and external APIs across its hybrid cloud infrastructure. The announcement said Unity Bank deployed IBM Cloud Pak for Integration on Red Hat OpenShift.

The API hub is said to leverage an API gateway that facilitates ‘smooth integration between core banking systems, digital channels, and operational workflows’. The hub also provides standardised, secure and real-time access to business-critical data. 

This enables third-party developers, fintech partners, and corporate clients to build value-added services that leverage core banking functionalities, the company said. 

Besides, the API hub is claimed to ‘drive a 50% reduction in time-to-market for new APIs and features, and a nearly 30% improvement in API issue resolution.’

“With IBM’s support, we now have a powerful, secure application backbone that allows us to innovate faster, scale effectively, and respond to customer needs in real time. This transformation enables our teams to focus on building differentiated customer journeys rather than managing complex integrations,” said Yusuf Roopawalla, Chief Information Officer, Unity Small Finance Bank.

Rishi Aurora, managing partner at IBM Consulting, India and South Asia, said that India’s banking sector, which is rapidly evolving due to the emergence of AI and new technologies, necessitates that banks handle the complexities related to applications and APIs. 

“Unity Bank is addressing this uniquely and effectively through the collaboration, by leveraging automation and centralised API governance to build a secure, scalable, and modern application backbone,” he added. 

The post IBM Helps Unity Bank Cut Time to Market for New APIs by 50% appeared first on Analytics India Magazine.

ServiceNow has launched ServiceNow University in India, with the goal of skilling one million learners in AI by 2027. The announcement was made at the company’s first AI Skills Summit in Hyderabad, which saw 1,200 students attend in person and more than 20,000 join virtually.

The initiative is part of ServiceNow’s larger ambition to train 3 million people globally. India, one of the company’s fastest-growing markets, is at the center of this plan. 

Currently, the platform has 318,000 active learners and 116,000 certified professionals, with programs already feeding talent pipelines for its partners and customers.

“Organisations are adopting AI at record speed, but there simply aren’t enough skilled professionals to power this transformation,” said Sumeet Mathur, senior vice president & MD, ServiceNow India technology & business centre. “That uncertainty is exactly what ServiceNow University is designed to address.”

The launch comes as new research from ServiceNow estimates that Agentic AI will reshape more than 10 million jobs in India by 2030. At the same time, India is expected to add three million new tech workers in the next five years, creating both an opportunity and a challenge. 

ServiceNow University aims to address the skills gap in India through free, gamified and AI-personalised learning. Learners can take bite-sized courses, earn digital credentials, and follow India-focused career pathways such as software development, data engineering, and security operations. 

The platform also integrates with universities, government skill programs, and regulatory bodies like AICTE to make courses more widely accessible.

While earlier speaking with AIM, ServiceNow’s MD and GVP, India and SAARC, Ganesh Lakshminarayanan said that AI may shift roles away from pure coding to “business-tech-commercial” skills, but the demand will be massive. He revealed that he is backing this belief with a goal to train one million Indian learners in AI skills by 2027, part of a global goal of three million of ServiceNow University.

Read: ServiceNow India Head Says AI Agents Can Shrink the Indian IT Bench

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OpenAI announced a new feature for the $200 monthly ChatGPT Pro plan, called ‘ChatGPT Pulse,’ on September 25. 

The feature offers a feed-like experience on ChatGPT, delivering updates to users based on their chat history and drawing information from all the connected apps. 

Pulse consists of visual cards on various topics that can be expanded for more detailed information. Users receive a new Pulse with a fresh set of cards every day. 

“This is the first step toward a more useful ChatGPT that proactively brings you what you need, helping you make more progress so you can get back to your life,” said the company. 

OpenAI said that, based on feedback from Pro users, the feature will be rolled out to the $20 monthly ChatGPT Plus plan, with the eventual goal of making it available to everyone. 

Greg Brockman, the president and co-founder of OpenAI, described it as a ‘background agent’ that provides daily updates to users on topics of interest. 

Initial reactions from users have been mainly positive. Simon Smith, the executive vice president of generative AI at Klick Health, said in a post on X, “This is going to be insanely useful.” 

“You get content on very specific things you’ve been discussing with ChatGPT. For example, I was chatting with it the other day about AIs competing with each other, so it presented some content on that,” he added, in his review of the feature.

He also added that it curates content based on things that users have mentioned in passing and are genuinely interested in. “It noticed I’ve been asking about Toronto’s crashing condo market, for example, so found me an article on that,” he added. 

However, some users also expressed concerns about the future of ChatGPT. “Feels like an attempt to build a ‘feed” for ‘scrolling’. Feels very passive vs utilising the conversational strengths of LLMs. and yeah, mostly news (sic),” said Kevin Xu, CEO of Alpha AI, in a post on X.

The release of Pulse also coincides with reports that OpenAI is seeking someone who can help the company with advertising, reporting to Fidji Simo, the CEO of applications. 

The post ChatGPT’s New Background Agent ‘Insanely Useful’ appeared first on Analytics India Magazine.

Tech Mahindra has announced an agreement with AMD to accelerate enterprise transformation through next-generation infrastructure, hybrid cloud and AI adoption. 

According to an official release, the collaboration aims to enable enterprises across key sectors, including manufacturing, finance, telecommunications and healthcare, to harness the full potential of AI-driven infrastructure.

Through the collaboration, Tech Mahindra said it will integrate AMD’s compute engines and infrastructure with its Cloud BlazeTech solution to drive AI adoption across enterprise workloads. 

The company plans to develop new solutions to enable enterprises to optimise workloads across end-user devices, servers and cloud infrastructure, including public, private and hybrid environments.

Mohit Joshi, CEO and managing director, Tech Mahindra, said, “Enterprises worldwide are scrambling to maximise ROI while navigating the complexity of hybrid and cloud-native ecosystems. Our strategic agreement with AMD is a step towards delivering next-generation hyper scalable solutions that seamlessly bridge on-site infrastructure with cloud-native capabilities.”

Lisa Su, chair and CEO of AMD, said, “By combining our EPYC processors and AMD Instinct accelerators with Tech Mahindra, we can create solutions that enable customers to deploy AI on compute infrastructure across hybrid and multi-cloud environments.”

As per the statement, both companies are embarking on a multi-year collaboration with a comprehensive roadmap focused on infrastructure optimisation and AI enablement. 

Leveraging leadership in compute and software capabilities from AMD and Tech Mahindra’s deep industry experience, the collaboration, Tech Mahindra said, will empower customers to harness AI-driven innovation, delivering critical business value and operational outcomes.

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AI startup Perplexity, on September 25, launched the ‘Perplexity Search API’, providing developers access to the infrastructure that enables Perplexity’s services and an index that covers “hundreds of billions” of webpages, the company announced.

“When it comes to AI, context is king. It is insufficient to operate simply at the document level. Our indexing and retrieval infrastructure divides documents up into fine-grained units,” Perplexity said in a blog post. 

“These sub-document units are individually surfaced and scored against the original query parameters, allowing our API to return documents with the most relevant snippets already ranked,” the company said in a statement, indicating that this would lead to less preprocessing while enabling faster integration. 

Pricing tiers range from the lightweight Sonar API at $1 per million input and output tokens to the Sonar Pro at $3 and $15 per million input and output tokens, respectively. 

It also provides specialised options, such as Sonar Reasoning, Sonar Reasoning Pro and Sonar Deep Research, which add varying costs for reasoning, citations and search queries depending on the workload complexity.

The company also stated that the API leads the competition in terms of quality and latency, while providing top-tier performance at a lower cost. 

Compared to other APIs from Exa and Brave, the company claims to deliver better performance and latency across industry-standard benchmarks such as SimpleQA and BrowseComp, among others. 

Source: Perplexity

Besides, Perplexity also released a Search SDK, which the company says its engineers have been able to use along with AI coding tools to “develop impressive product prototypes in under an hour”.

“We anticipate even more impressive feats from startups and solo developers, mature enterprises and everyone in between,” the company added. 

A few days ago, multiple reports indicated that Perplexity has “secured commitments” from investors for $200 million in new funding at a valuation of $20 billion. This marks an increase from its previous reported valuation of $18 billion, after a fundraising round in July.

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LTIMindtree has launched a first-to-market AI governance framework for agentic AI to enable intelligent decision-making. 

According to an official press release, the framework, BlueVerse RightAction, built on the company’s BlueVerse AI ecosystem, helps autonomous AI agents adhere to business rules and regulations, reducing enterprises’ risk of costly errors.

It integrates AI governance into autonomous agents, ensuring compliance with business rules and regulations. 

The framework supports supervised and generative models for compliant, context-aware actions, monitoring, documentation, transparency, fraud detection and rapid low-code deployment. 

The company said the framework supports intelligent decision-making and reduces human intervention, enhancing autonomy, accelerating results and increasing operational efficiency while building enterprise trust and reducing costly errors.

“By combining context, intent and rigorous governance, BlueVerse RightAction guarantees right action every time, giving enterprises the confidence to embrace the next frontier of AI,” Venu Lambu, chief executive officer and managing director, LTIMindtree, said in the statement. 

This ensures that autonomous agents take contextually appropriate actions that are ethically sound and compliant with enterprise policies. 

By enforcing clear guardrails and providing explainability, the company said it mitigates the black‑box risks described by governance experts and enables businesses to trust agentic AI.

The company added that it has launched BlueVerse Academy to address the existing talent gap and to create a league of AI-skilled talent.

The academy is currently training 60,000 employees in the first phase of its programme. Partnering with major technology firms and academic institutions, the academy will provide advanced AI training and offer executive programs, workshops and co-development opportunities.

It will also host hackathons and experiential learning for employees and students, supported by internal resources, industry partners and expert mentors to develop scalable, future-ready AI talent.

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Days after Karnataka CM Siddaramaiah wrote to Wipro founder and chairman Azim Premji, seeking support from the company to ease traffic congestion on Bengaluru’s Outer Ring Road (ORR) corridor by allowing public vehicular movement through its Sarjapur campus, the company has pushed back.

While Wipro, in an official statement, said it remains committed to partnering with the state government, it emphasised that Bengaluru’s mobility challenges demand a more comprehensive approach.

“The complexity of Bengaluru’s traffic problem, stemming from multiple factors, suggests that there is unlikely to be a single point solution to resolve it,” the company said.

“We believe the most effective path forward is to commission a comprehensive, scientific study led by an entity with world-class expertise in urban transport management. Such an exercise would allow us to develop a holistic roadmap of effective solutions that are implementable in the short, medium and long term.”

Wipro added that it would participate in and support such a study to demonstrate its commitment to finding solutions. In a letter addressed to Siddaramaiah, Premji committed “to underwrite a significant portion of the cost for this expert study”.

Responding to the specific request on allowing public vehicular movement through the company’s Sarjapur campus, Premji said that the company “apprehends significant legal, governance and statutory challenges since it is an exclusive private property owned by a listed company, not intended for public thoroughfare”.

He suggested that public vehicular movement through private property would not be an effective long-term solution.

“That apart, it will also be appreciated that our Sarjapur campus is a Special Economic Zone (SEZ) providing services to global customers, our contractual conditions mandate stringent, non-negotiable access control norms for governance and compliance,” Premji added in the letter..

Reassuring partnership with the Karnataka government to find a lasting solution for Bengaluru’s mobility challenges, Premji said a collaborative, data-driven approach will yield the most impactful results for the city. 

Siddaramaiah, in a letter dated September 19, had proposed limited vehicular access through the Wipro campus, subject to consent and strict security measures, as a way to ease congestion. Preliminary assessments cited in his letter suggest such a move could cut traffic along the stretch by nearly 30% during peak hours.

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Chinese tech giant Baidu’s autonomous ride-hailing platform, Apollo Go, has begun open-road trials in Dubai after receiving the city’s first autonomous driving trial permit and 50 test licences from the Roads and Transport Authority (RTA). 

The approval was granted earlier this year, allowing Apollo Go to deploy its fleet in designated urban areas.

Liang Zhang, managing director of EMEA at Baidu Apollo, said, “Together with the RTA, we aim to co-build a global benchmark for intelligent transportation and contribute to solidifying Dubai’s position as a world-leading autonomous city.”

The 50-vehicle fleet has begun trials recently, with plans to expand to more than 1,000 fully driverless vehicles over the next three years. The announcement was made at the 4th Dubai world congress for self-driving transport, where Apollo Go is currently the only platform authorised to run trials on open roads.

Ahmed Hashem Bahrozyan, CEO of the public transport agency at the RTA, joined Baidu executives (Zhang) at the announcement. This announcement follows the memorandum of understanding (MOU) signed between Apollo Go and the RTA earlier this year.

Apollo Go is conducting trials using its sixth-generation autonomous vehicle, the RT6. The company said its partnership with the RTA aims to create a benchmark for intelligent transport.

The giant recently partnered with Uber to deploy Apollo Go on the Uber platform across multiple international markets, like Asia and the Middle East by the end of 2025. It also collaborated with CAR Inc., a Chinese auto mobility provider, in May this year to launch China’s first autonomous car rental service.

Apollo Go previously secured Hong Kong’s first autonomous driving test licence in November 2024, marking its entry into a right-hand-drive market. Globally, the company has logged 200 million kilometres of safe driving and provided 14 million autonomous rides.

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Microsoft has announced a new cooling system that can remove heat from AI chips up to three times more effectively thancurrent methods. The company tested the in-chip microfluidic cooling technology on a server running simulated Teams services, showing its potential to support next-generation data centres.

A Microsoft Teams call might look simple, but it actually relies on hundreds of different services working together in the background. One service connects the user to the meeting, another hosts it, while others handle chat storage, merge audio, record conversations or create transcripts.

Each of these tasks puts pressure on different parts of the server. “The more heavily utilised a server is, the more heat it generates, which makes sense,” Jim Kleewein, technical fellow at Microsoft, explained.

The system utilises microchannels etched directly into the silicon, enabling coolant to flow directly onto the chip, where heat is concentrated.

“If you’re still relying heavily on traditional cold plate technology, you’re stuck,” Sashi Majety, senior technical programme manager at Microsoft, said. The company expects the innovation to help overcome rising heat issues caused by increasingly powerful AI chips, as it expressed in its blog post.

Judy Priest, corporate vice president and chief technical officer at the company, said the breakthrough “would allow for more power-dense designs that will enable more features that customers care about and give better performance in a smaller amount of space.”

To achieve this, the team combined microfluidics with AI to map unique heat signatures and direct coolant precisely. Microsoft also worked with Swiss startup Corintis to design bio-inspired channels that mimic veins in leaves to optimise cooling efficiency.

The giant said the cooling method could improve energy efficiency and lower costs in data centres, where heat management is a growing challenge. “Microfluidics improves cost, reliability, speed, consistency of behaviour and sustainability,” Kleewein said.

The company is now exploring how to integrate the technology into future chip generations and data centre operations. It also plans to continue collaborating with silicon manufacturers to scale the system. “We want microfluidics to become something everybody does, not just something we do,” Kleewein added.

The post Microsoft Develops New AI Chip Cooling System, says It’s 3x Better Than Current Systems appeared first on Analytics India Magazine.

Databricks and OpenAI have entered into a multi-year, $100 million partnership to integrate OpenAI’s latest models directly into the Databricks Data Intelligence Platform and its flagship product, Agent Bricks. 

The move will make GPT-5 and other frontier models natively available to more than 20,000 Databricks customers across cloud environments.

The collaboration aims to enable enterprises to build production-grade AI applications and agents on governed datasets, eliminating the friction of data duplication and complex integration. Through Agent Bricks, businesses will be able to design, evaluate, and scale AI agents that meet enterprise standards of accuracy, security, and governance.

Ali Ghodsi, co-founder and CEO of Databricks, said demand for customised enterprise AI is accelerating, in a statement. “This partnership makes it easier for enterprises to securely leverage their data and OpenAI models at scale with best-in-class governance and performance.”

Brad Lightcap, COO of OpenAI, added that the deal places advanced AI where business data already resides. “Our partnership with Databricks brings our most advanced models to where secure enterprise data already lives, making it easier for businesses to experiment, deploy, and scale AI agents with real impact,” he said in the statement.

According to the company, early adopters like Mastercard view the collaboration as a means to scale AI securely. Greg Ulrich, chief AI and data officer at Mastercard, noted that the partnership provides them with the chance to create reliable AI agents that leverage the most recent OpenAI models.

Beyond customer access, the agreement also formalises joint technical work. Databricks and OpenAI teams will co-develop optimisations for enterprise workloads while ensuring observability and compliance through Databricks’ Unity Catalog.

The deal builds on existing ties, including OpenAI’s use of Databricks to process AI training data and Databricks’ role (one of the deployment partners) in hosting gpt-oss, OpenAI’s open-weight model.

Also Read: Databricks Says Enterprises Are Flying Blind on AI Agents, And It Has a Fix

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As India intensifies its push for local solutions, Salesforce, the US-based cloud computing and customer relationship management (CRM) company, has expressed confidence in its continued growth in the country.

Arundhati Bhattacharya, President & CEO of Salesforce South Asia, conveyed optimism about the company’s role in India, despite the government’s increasing emphasis on homegrown solutions.

“The government’s attitude remains welcoming. Global players like Salesforce will continue to contribute to India’s growth by creating jobs, nurturing talent, and advancing innovation,” Bhattacharya said.

Union IT Minister Ashwini Vaishnaw recently endorsed Zoho’s suite of productivity tools, urging businesses and citizens to adopt indigenous platforms in alignment with Prime Minister Narendra Modi’s “swadeshi” (local products) campaign. While the push for local alternatives gains momentum, Bhattacharya emphasised that Salesforce’s operations in India remain essential not only for local clients but also for the global market.

In June 2024, Salesforce announced the launch of its Public Sector division in India to drive transformation in government services. The division is focused on empowering government agencies and public sector organisations to enhance citizen experiences using Salesforce technology. This move underlines the company’s commitment to contributing to India’s digital transformation.

Bhattacharya discussed these efforts during a roundtable focused on Salesforce’s AgentForce platform, designed specifically for the public sector, held in Bengaluru on September 25.

AgentForce aims to bridge the gap between citizen expectations and government offerings by enabling seamless interactions and improving the efficiency of public services. While Salesforce has been in talks with both state and central governments about AgentForce, Bhattacharya refrained from disclosing any closed contracts.

According to the company’s internal survey data, 86% of global citizens expect governments to offer more relevant services proactively. The survey suggests that the public sector can meet this demand by providing 24/7 support, responding more quickly to citizen needs, and improving data security. Additionally, nearly two-thirds (62%) of Indian constituents report missing deadlines due to complicated or confusing interactions with government services.

Data Privacy and AI Adoption in India

India has long been a critical base for Salesforce, which now employs over 13,000 people in the country. The company collaborates closely with Indian IT firms and is actively involved in government skilling initiatives aimed at bridging the tech talent gap.

Regarding AI’s impact on the business landscape, Bhattacharya acknowledged that AI adoption has faced some setbacks but sees these as opportunities for learning and improvement.

“It’s important to experiment and learn. Every failure teaches us how to do things better,” she said. She also highlighted Salesforce’s AI-driven initiatives that have shown success, such as automating responses for faster service.

Bhattacharya also addressed concerns over data privacy, particularly in government services. While there are valid concerns about data handling, she noted that the government is equally focused on ensuring data accessibility for better public service delivery.

“The challenge lies in finding the balance between privacy and accessibility,” she said, emphasising the need for data protection while also enabling actionable insights for improved services.

Finally, Bhattacharya discussed evolving hiring trends at Salesforce in light of AI disruption. She revealed that the company had redeployed 4,000 employees across various functions, ensuring they are directly connected to client sites.

“It’s about ensuring that we are directly addressing client needs and delivering as per their expectations,” Bhattacharya said.

Bhattacharya’s comments underscore Salesforce’s confidence in India’s continued role as a global tech hub. The company views the Indian government’s focus on local solutions as an opportunity to strengthen its global position while contributing to India’s technological development.

The post Salesforce Confident in India’s Growth Amid Push for Local Solutions appeared first on Analytics India Magazine.

Infosys said it is expanding its long-term collaboration with Sunrise, Switzerland’s second-largest telecommunications provider, to support the company’s IT transformation.

The Indian IT giant will help Sunrise build a modern, agile, and secure technology foundation. The effort is aimed at driving innovation and ensuring future readiness, according to an official release.

Infosys has been a key partner in streamlining Sunrise’s IT landscape, providing services across design, development, testing, deployment, and operations. The company said it has consolidated multiple vendors into a unified portfolio and transitioned a wide range of applications.

The IT giant said the partnership reflects a strong cultural alignment between the teams. The work is creating a scalable and secure technology environment that supports Sunrise’s IT transformation and sets the stage for AI-enabled initiatives.

Infosys added that it will bring its expertise in AI, analytics, and data, including elements of Infosys Topaz, its AI-first generative AI platform. This will help Sunrise move towards becoming an AI-powered organisation.

The company said the collaboration will unlock business value by enhancing speed, efficiency, and quality through data-driven insights and automation. It will also strengthen customer service through higher reliability, faster launches, and more personalised digital experiences.

Anna Maria Blengino, CIO, Sunrise, said, “Through our strategic collaboration, we are consolidating our technology landscape and infusing it with AI, putting enhanced customer experience at the heart of this transition.”

Upendra Kohli, executive vice president – communication, media and technology (Americas and Europe), Infosys, said, “By infusing advanced intelligence across their operations, Infosys is supporting Sunrise in its efforts to continuously innovate and deliver unparalleled experiences for their customers, all while upholding the highest standards of data security and integrity.”

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Y Combinator (YC), the San Francisco-based startup school and incubator, announced a new program called ‘Early Decision’ on September 24. 

This lets aspiring founders apply to YC before they graduate and reserve a spot in a future batch. 

“For example, you apply in Fall of this year, for a spot in the summer batch of the following year. You submit the same YC application as if you were applying for the upcoming batch,” said YC in the blog post. “If you’re accepted, we’ll fund you immediately and hold your place for after you graduate.”

YC states that the motive behind this programme is to help students prioritise their academics while also supporting them in pursuing their entrepreneurial goals. 

The startup school mentioned that this also provides an alternative option for students besides applying for jobs and internships in their final year. 

To indicate their interest in applying for Early Decision, applicants must select the option for the batch after Winter 2026 when completing their YC application, and then select the specific batch for which they wish to be considered.

“With the school system being outdated and unable to keep up with the pace of tech, this is an interesting move. I think it’s a good move and keen to see how students take to this over the next year,” said a partner at a venture capital firm in reaction to the announcement on X.

YC was founded in 2005 and has since become one of the most influential forces in the global startup ecosystem, particularly in today’s AI-driven era. Companies and startups backed by YC have generated over $800 billion in market value.

It has recently increased to four batches a year from two, and for each startup, it invests $500,000, taking a 7% equity stake with $125,000 and converting the remaining $375,000 into shares in future funding rounds.

The post You Can Now Apply & Hold a Spot in Y Combinator Before You Graduate appeared first on Analytics India Magazine.

Google announced the release of the Data Commons Model Context Protocol (MCP) Server on September 24. 

This enables developers, data scientists, and organisations to instantly access Data Commons’ public datasets in AI products and applications, without needing to use an API.

“Faster than ever, developers can deploy AI agents and applications that deliver trustable, sourced Data Commons information back to the end user,” said Google in its official developer blog. 

For example, the MCP server assists agents and AI applications in managing different data-driven queries. 

Google showcased a real-world use case from the ONE campaign, a global organisation advocating for investments to create economic opportunities and healthier lives in Africa.

“ONE Data leveraged the power of our MCP server and agent-driven exploration to develop The One Data Agent, an interactive platform for health financing data,” the company said. 

The tool allows users to efficiently search through millions of health financing data records in seconds using natural language. For example, users can quickly identify countries that are at risk from donor cuts by searching for those that rely heavily on external health funding, making them most susceptible to aid reductions or debt shocks. 

MCP is an open-standard framework developed by the AI startup Anthropic, designed to enable LLMs, AI applications, and platforms to easily connect to diverse data sources. This capability enhances the context for how applications respond to user queries. Currently, there is a broad spectrum of MCP servers serving various domains and use cases. 

On the other hand, Data Commons is an initiative by Google that enables anyone to access a wide range of publicly available data. Data Commons encompasses public data across various domains, including agriculture, biomedical, crime, economy, demographics, employment, and more. 

“This capability [MCP server] further supports the larger ambition of Data Commons: using real-world statistical information as an anchor to help reduce Large Language Model (LLM) hallucinations,” said Google. 

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Microsoft on Wednesday announced that it has expanded the range of models available in Microsoft 365 Copilot, adding Anthropic’s Claude Sonnet 4 and Claude Opus 4.1 alongside the existing OpenAI options.

Organisations can enable access through the Microsoft 365 admin center. The company said customers will now be able to choose between OpenAI and Anthropic models when using Copilot’s Researcher agent or building agents in Microsoft Copilot Studio.

“Our first-of-its-kind reasoning agent can now be powered by either OpenAI’s deep reasoning models or Anthropic’s Claude Opus 4.1,” said Charles Lamanna, President, Business & Industry Copilot, in a company statement. “Whether you’re building a detailed go-to-market strategy, analysing product trends, or creating a quarterly report, you can now select your preferred model to power in-depth work.”

In Copilot Studio, users will be able to build, orchestrate, and manage agents using Anthropic models for reasoning, workflow automation, and other agentic tasks. A drop-down menu will allow switching between models from Anthropic, OpenAI, or the Azure Model Catalog without leaving the platform.

Claude in Researcher is rolling out through Microsoft’s Frontier Program to Copilot-licensed customers who opt in. Anthropic models will be hosted outside Microsoft-managed environments and subject to Anthropic’s terms and conditions.

“This is just the beginning—we’re committed to delivering model innovation at speed to empower every person with Microsoft 365 Copilot and transform business processes with agents,” Lamanna said.

The addition of Anthropic models comes as Microsoft seeks to be less dependent on OpenAI. Alongside adding large language models from more providers, Microsoft has begun testing its in-house model, MAI-1-preview.

Meanwhile, on September 11, OpenAI announced in a blog post that its nonprofit arm will now be paired with an equity stake in its Public Benefit Corporation (PBC), a valuation expected to exceed $100 billion. The company also said it has reached a Memorandum of Understanding (MoU) with Microsoft to convert its for-profit arm into a PBC, a structural shift first announced in May.

Microsoft has been a major backer of OpenAI over the past few years and has invested over $13 billion since 2019. 

Initially, the deal granted Microsoft exclusive rights to power OpenAI’s tools through its cloud platform Azure, but these restrictions have relaxed over the past few months. OpenAI is now expanding its infrastructure and cloud partnerships to include Oracle, Google, and others, breaking away from sole Azure reliance.

OpenAI recently revealed plans to spend $300 billion on projects with Oracle. This week, NVIDIA announced it will invest up to $100 billion in OpenAI as part of a joint initiative to develop hundreds of billions of dollars’ worth of new data centers.

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