AMD specific news
3 Best AI Laptop Feature!edit
Aditya Sinha (Adi4U) showcased the AI capabilities of the AMD Ryzen AI Max+ 395 processor on the ASUS ProArt PX13 through YouTube Shorts and Instagram Reels, demonstrating Copilot+ PC features such as Live Captions and Click to Do. He also demonstrated FastFlow LM running LLMs locally without an internet connection, highlighting its reliance on the NPU and the productivity benefits of on-device AI processing.
Publication: Adi4U
Why AMD is buying World Labs, the startup founded by AI ‘Godmother’ Fei-Fei Liedit
Advanced Micro Devices (AMD) said Tuesday that it is acquiring World Labs, the startup founded by Fei-Fei Li, the world-renowned computer scientist known as the “Godmother of AI.” The chipmaker is paying $8.2 billion in stock for the company, and the deal is expected to close by the end of the year, subject to regulatory approvals.
Publication: The Indian Express
AMD Ryzen AI Max PRO 400 Series Brings Local Agentic AI to Business PCsedit
The advent of generative artificial intelligence has raised questions around commercial use cases, adoption, and ROI since the technology entered mainstream discourse in late 2022. As AI agents move towards broad deployment, companies face even greater pressure to answer them. Unlike genAI chatbots, which typically rely on a question-and-answer model, AI agents can carry out complex, multi-step tasks across different applications. When configured to do so, they can also take certain actions autonomously and work on complex projects for extended periods while the person who initiated the task focuses elsewhere.
Publication: Digital Terminal CXO Today
AMD to acquire AI start-up Wet Lab for $8.2 billion; Lisa Su to remain Chief Scientistedit
American chip company AMD has agreed to acquire AI start-up Wet Lab for about $8.2 billion. The deal will bring advanced AI and physical AI technology capabilities to AMD. Dr Lisa Su will continue as Chief Scientist and play a key role in the integration.
Publication: Dainik Bhaskar
AMD to acquire World Labs for $8.2 billion to strengthen AI compute strategyedit
AMD has entered into a definitive agreement to acquire World Labs, the artificial intelligence research company co-founded and led by AI pioneer Dr. Fei-Fei Li, in an all-stock transaction valued at approximately $8.2 billion. The acquisition is aimed at strengthening AMD’s AI capabilities by bringing World Labs’ model research expertise and team of researchers into the company. AMD said the deal will help it better understand the changing requirements of AI workloads and shape future hardware, software and systems around emerging models and applications.
Publication: Express Computers
$8.2 Billionedit
Amount AMD will pay to buy Fei-Fei Li’s AI startup, World Labs, in all-stock deal.
Publication: The Economic Times
Competition in news
DeepSeek unveils Huawei AI chip tools that may replace Nvidia’sedit
DeepSeek has publicly released software it created with Huawei Technologies Co. to program AI chips, showcasing its close partnership with the Chinese company working to develop technologies to replace Nvidia Corp.
Publication: Money Control
Nvidia’s Jensen Huang calls data centers ‘superintelligence factories’ after Trump’s AI renaming pushedit
Nvidia CEO Jensen Huang said data centers are now becoming “superintelligence factories,” echoing President Donald Trump’s push to use the term “super intelligence” when referring to the next phase of artificial intelligence. Huang made the remarks during a high-profile White House luncheon on Tuesday, where Trump met with some of the biggest names in the technology industry to discuss AI, industry self-regulation and the rapid expansion of computing infrastructure.
Publication: Hindustan Times
Nokia bets on dApps, Nvidia GPUs for 5G open RAN competitiveness: Reportedit
Nokia’s strategic shift towards open RAN, dApps, and Nvidia GPUs marks a significant move to bolster its 5G competitiveness against rivals Ericsson and Samsung. The Finnish vendor is embracing a new open RAN interface, E3, designed for dApps that operate in the user-plane with sub-millisecond latency, aiming to make its offering more attractive to global telcos, according to a Light Reading report. The company’s long-term vision for the Radio Access Network (RAN) involves a transition towards Nvidia’s graphics processing units (GPUs) as a general-purpose substitute for custom silicon.
Publication: ET Telecom
Nvidia Builds a Security Layer for AI Agentsedit
As enterprises race to deploy autonomous AI agents, Nvidia is pushing security deeper into the AI stack, arguing that agents cannot be trusted to police their own behaviour. Its new Open Agent Safety Platform brings together more than 100 technology, research and public-sector organisations around a layered approach to agent security. AI agents represent a different security challenge from traditional applications. They can reason, execute code, access databases, call APIs, use credentials and communicate with other systems—sometimes operating independently for extended periods. That combination dramatically increases the potential impact of compromised, manipulated or misbehaving agents.
Publication: VAR India
Partner in news
Dell Technologies Forum 2026 Charts India’s Path from AI Experimentation to Enterprise-Scale Adoptionedit
Dell Technologies recently concluded Dell Technologies Forum 2026 across Mumbai and Bengaluru, drawing over 13,000-plus technology and business leaders, customers and partners who attended across on-ground events and online. As 42% of leaders in the Dell-Vanson Bourne Study report falling behind the pace of disruption, this year’s forum was built around a shared resolve that moving AI from pilot to production at scale demands strong infrastructure, skilled talent and partnerships that can make it real.
Publication: Digital Terminal
Asus Pad Review: Gorgeous Display, But Does It Deliver Enough?edit
Asus’s re-entry into India’s tablet market after nearly a decade comes with the Asus Pad, priced at Rs. 35,990, and on paper it reads like a genuine steal – a 12.2-inch tandem OLED display, quad speakers with Dolby Atmos, and a 9,000mAh battery, all undercutting most OLED tablets in the country by a significant margin. We’ve spent time with the white variant as our daily tablet for streaming, reading, and casual use, and while the display alone makes a strong case for the Asus Pad, a few rough edges are there that we’d like to highlight.
Publication: Free Press Journal
Dell Pro Max 18 Plus review: A desktop replacement disguised as a laptopedit
Workstation laptops have always been a niche category, sitting somewhere between a traditional desktop replacement and a laptop that is genuinely portable. The Dell Pro Max 18 Plus leans heavily toward the former. Positioned as an elder sibling to the 16-inch variant we reviewed earlier this year, it offers almost the exact spec sheet in a bigger package.
Publication: 91 Mobiles
Industry news
Teradyne launches Magnum E2 system to accelerate chip testing for AI, HPC applicationsedit
Semiconductor test equipment provider Teradyne on Tuesday launched “Magnum E2”, a next-generation high-speed memory test system designed for advanced DRAM and flash interfaces including LPDDR6, DDR6, GDDR7, and NAND flash. Built on Teradyne’s Near-DUT Test architecture from its Magnum EPIC platform, the system supports engineering qualification and high-volume manufacturing on a unified hardware and software framework, according to a company statement.
Publication: ET ElectronicsWorld
India’s chip push is opening a new market for specialty chemical makersedit
India’s semiconductor push is creating a new opportunity for specialty chemical makers that can supply ultra-pure inputs for chip fabrication. NDTV Profit reported that listed companies are investing to tap the market, while investors are already bidding up valuations on the expectation of future demand. The story is still early, but it points to a potentially durable shift if India’s chip ecosystem expands from assembly into deeper manufacturing.
Publication: ET Chemicals
India’s Semiconductor Market Projected to Reach $200 Billion by 2035: EY-IESA Reportedit
A new analysis report presented by EY-IESA estimates that India’s semiconductor market will grow more than threefold by 2035. It states that the market will increase from nearly $64 billion in 2026 to $200 billion by 2035 covering areas such as artificial intelligence, data centres, telecommunications, electric vehicles, and advanced semiconductor manufacturing. The findings of the report point to the increase in demand for semiconductors in India’s consumer electronics and industrial sectors. Consumer electronics is the largest demand segment accounting for a 30% market share, followed by Automotive (16%) and Industrial (15%).
Publication: ELE Times
Uttar Pradesh government looks to attract semiconductor fab unit: Vijay Kiran Anandedit
Uttar Pradesh is engaging with semiconductor companies to facilitate the establishment of a fabrication unit in the state, said a top state government official. “A lot of design and R&D centers are coming up. We still do not have a fab unit. We are working on that. That is a very difficult thing to do. But we are working with companies and countries which are in this space,” Vijay Kiran Anand, secretary (infrastructure and industrial development), government of Uttar Pradesh, told ETElectronicsWorld in an interview.
Publication: ET ElectronicsWorld
India semicon ecosystem needs more research-industry ties: S’pore officialedit
India’s semiconductor ecosystem is taking shape at an accelerated pace and could attract greater international attention in the next three to five years, but the country would benefit from an umbrella agency to help translate research into industry, a senior Singapore semiconductor R&D official has said.
Publication: Business Standard
Chip startup Efficient Computer raises $100 million at $650 million valuationedit
Efficient Computer, a chip startup spun out of Carnegie Mellon University, on Tuesday said it has raised $100 million in additional funding, bringing its valuation to $650 million. Efficient is developing chips with what is known as data flow architectures that can be both faster and 10 to 100 times more energy-efficient than the architectures used by Intel Corp or Nvidia Corp. Data-flow chips have bounced around academic literature for decades without commercial traction, largely because they are difficult for software developers to program for the wide variety of tasks that can be handled by chips from Intel or Nvidia.
Publication: ET ElectronicsWorld
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