Latest news with #AI2
Globe and Mail
17 hours ago
- Automotive
- Globe and Mail
Enovix Establishes R&D Center of Excellence in India to Accelerate AI-2™ Platform Development
FREMONT, Calif., Aug. 08, 2025 (GLOBE NEWSWIRE) -- Enovix Corporation (Nasdaq: ENVX) ('Company' or 'Enovix'), a global high-performance battery company, today announced that it has created an R&D Center of Excellence in Hyderabad, India to accelerate the development of its Artificial Intelligence Class TM second-generation battery platform AI-2 TM into 2025. The new Enovix 18,000-square-foot R&D facility in Hyderabad's prestigious 'HITEC City' with neighbors Google, Micron, Intel, etc., now employs about 40 full-time employees, most of whom are engineers and scientists with advanced degrees, including a deep bench of electrochemists and materials scientists. The India team uses advanced battery modeling and cutting-edge machine learning that will accelerate the first prototypes on the Enovix AI-2 platform for engineering evaluation this year. The AI-2 product development will utilize every Enovix world-wide site to reduce development time, as shown below. Our Korean team will develop and manufacture the 115mm-wide, 0.3- mile long rolls of AI-2 silicon anodes with next-generation silicon anode materials deposited on a very thin copper foil layer – in a timeframe 50% faster than our current approach. Then, the prototype batteries will be manufactured in Malaysia directly on our high volume manufacturing (HVM) line, eliminating the significant time loss of transferring R&D processes to manufacturing, as happened with our AI-1 technology. The new AI-2 samples will also be tested in Penang to develop production test programs and then fully characterized by our Fremont R&D team. By uniting electrochemical and mechanical modeling, materials development, and rapid prototyping under one roof, the Hyderabad R&D Center will speed up AI-2 development. The Hyderabad R&D team's expertise in electrochemistry and mechanical modeling played a critical role in the development of the AI-1™ platform. They invented the electrolyte that meets the smartphone battery requirements- >900 Wh/L Energy Density, >1000 cycle life, and 3C fast charge. In addition to contributing to the structural integrity of AI-1, they have also now created an innovative constraint for AI-2 that maintains mechanical robustness while improving performance and energy density. The Hyderabad battery lab can produce about 2,600 coin and small pouch cell prototypes per year for fast, early rapid materials evaluation. And the test area can test up to 750 small cells simultaneously. Enovix CEO, Raj Talluri, said, 'From my experience at building similar high-performance teams at TI, Qualcomm, and Micron – India has always had a tremendous depth of engineering talent. By integrating modeling, materials development and rapid prototyping under one roof, our R&D Center accelerates innovation, as has already been demonstrated on our AI-1 platform.' T.J. Rodgers, Enovix Chairman, added, 'We took longer than we wanted in getting the AI-1 production-worthy, and we consider the Hyderabad R&D center to be a permanent organizational improvement to prevent that kind of delay in the future. India has an excellent educational system in which the Indian Institutes of Technology (IITs) are at the Cal Tech and MIT level. India still has extremely rigorous pre-college testing to separate out the top 1% of students for advanced IIT degrees, without the current political distortions of the U.S. system. In the same way Silicon Valley is the U.S. center of excellence for chip architecture and design, Hyderabad is the India center of excellence for electrochemistry.' Rodgers concluded, 'Intel dominated microprocessors for four decades by relying on the one-two punch of having parallel R&D teams working on both generation N and generation N+1 of a given technology at the same time. We now have ninety engineers in two groups that give us the one-two punch – at a price we can afford.' About Enovix Corporation Enovix is on a mission to deliver high-performance batteries that unlock the full potential of technology products. Everything from IoT, mobile, and computing devices, to the vehicle you drive, needs a better battery. Enovix partners with OEMs worldwide to usher in a new era of user experiences. Our innovative, materials-agnostic approach to building a higher performing battery without compromising safety keeps us flexible and on the cutting-edge of battery technology innovation. Enovix is headquartered in Silicon Valley with facilities in India, South Korea and Malaysia. For more information visit and follow us on LinkedIn. Forward‐Looking Statements This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Forward-looking statements generally relate to future events or the Company's future financial or operating performance and can be identified by words such as anticipate, believe, continue, could, estimate, expect, intend, may, might, plan, possible, potential, predict, should, will, would, and similar expressions that convey uncertainty about future events or outcomes. Forward-looking statements in this press release include, without limitation, statements regarding the development and expected performance of the AI-2™ battery platform, the expansion and capabilities of the India R&D Center, the anticipated acceleration of prototype timelines, the integration of global engineering sites, and the Company's broader business outlook. Actual results and outcomes could differ materially from those expressed in these forward-looking statements due to various risks and uncertainties, including those discussed in the 'Risk Factors' and 'Management's Discussion and Analysis of Financial Condition and Results of Operations' sections of Enovix's most recently filed annual report on Form 10-K and quarterly reports on Form 10-Q and other documents filed with the Securities and Exchange Commission. Any forward-looking statements in this press release speak only as of the date on which they are made or released. The Company undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events or otherwise, except as required by law. Chief Financial Officer: Ryan Benton Photos accompanying this announcement are available at
Yahoo
18 hours ago
- Automotive
- Yahoo
Enovix Establishes R&D Center of Excellence in India to Accelerate AI-2™ Platform Development
FREMONT, Calif., Aug. 08, 2025 (GLOBE NEWSWIRE) -- Enovix Corporation (Nasdaq: ENVX) ('Company' or 'Enovix'), a global high-performance battery company, today announced that it has created an R&D Center of Excellence in Hyderabad, India to accelerate the development of its Artificial Intelligence ClassTM second-generation battery platform AI-2TM into 2025. The new Enovix 18,000-square-foot R&D facility in Hyderabad's prestigious 'HITEC City' with neighbors Google, Micron, Intel, etc., now employs about 40 full-time employees, most of whom are engineers and scientists with advanced degrees, including a deep bench of electrochemists and materials scientists. The India team uses advanced battery modeling and cutting-edge machine learning that will accelerate the first prototypes on the Enovix AI-2 platform for engineering evaluation this year. The AI-2 product development will utilize every Enovix world-wide site to reduce development time, as shown below. Our Korean team will develop and manufacture the 115mm-wide, 0.3-mile long rolls of AI-2 silicon anodes with next-generation silicon anode materials deposited on a very thin copper foil layer – in a timeframe 50% faster than our current approach. Then, the prototype batteries will be manufactured in Malaysia directly on our high volume manufacturing (HVM) line, eliminating the significant time loss of transferring R&D processes to manufacturing, as happened with our AI-1 technology. The new AI-2 samples will also be tested in Penang to develop production test programs and then fully characterized by our Fremont R&D team. By uniting electrochemical and mechanical modeling, materials development, and rapid prototyping under one roof, the Hyderabad R&D Center will speed up AI-2 development. The Hyderabad R&D team's expertise in electrochemistry and mechanical modeling played a critical role in the development of the AI-1™ platform. They invented the electrolyte that meets the smartphone battery requirements- >900 Wh/L Energy Density, >1000 cycle life, and 3C fast charge. In addition to contributing to the structural integrity of AI-1, they have also now created an innovative constraint for AI-2 that maintains mechanical robustness while improving performance and energy density. The Hyderabad battery lab can produce about 2,600 coin and small pouch cell prototypes per year for fast, early rapid materials evaluation. And the test area can test up to 750 small cells simultaneously. Enovix CEO, Raj Talluri, said, 'From my experience at building similar high-performance teams at TI, Qualcomm, and Micron – India has always had a tremendous depth of engineering talent. By integrating modeling, materials development and rapid prototyping under one roof, our R&D Center accelerates innovation, as has already been demonstrated on our AI-1 platform.' T.J. Rodgers, Enovix Chairman, added, 'We took longer than we wanted in getting the AI-1 production-worthy, and we consider the Hyderabad R&D center to be a permanent organizational improvement to prevent that kind of delay in the future. India has an excellent educational system in which the Indian Institutes of Technology (IITs) are at the Cal Tech and MIT level. India still has extremely rigorous pre-college testing to separate out the top 1% of students for advanced IIT degrees, without the current political distortions of the U.S. system. In the same way Silicon Valley is the U.S. center of excellence for chip architecture and design, Hyderabad is the India center of excellence for electrochemistry.' Rodgers concluded, 'Intel dominated microprocessors for four decades by relying on the one-two punch of having parallel R&D teams working on both generation N and generation N+1 of a given technology at the same time. We now have ninety engineers in two groups that give us the one-two punch – at a price we can afford.' About Enovix Corporation Enovix is on a mission to deliver high-performance batteries that unlock the full potential of technology products. Everything from IoT, mobile, and computing devices, to the vehicle you drive, needs a better battery. Enovix partners with OEMs worldwide to usher in a new era of user experiences. Our innovative, materials-agnostic approach to building a higher performing battery without compromising safety keeps us flexible and on the cutting-edge of battery technology innovation. Enovix is headquartered in Silicon Valley with facilities in India, South Korea and Malaysia. For more information visit and follow us on LinkedIn. Forward‐Looking Statements This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Forward-looking statements generally relate to future events or the Company's future financial or operating performance and can be identified by words such as anticipate, believe, continue, could, estimate, expect, intend, may, might, plan, possible, potential, predict, should, will, would, and similar expressions that convey uncertainty about future events or outcomes. Forward-looking statements in this press release include, without limitation, statements regarding the development and expected performance of the AI-2™ battery platform, the expansion and capabilities of the India R&D Center, the anticipated acceleration of prototype timelines, the integration of global engineering sites, and the Company's broader business outlook. Actual results and outcomes could differ materially from those expressed in these forward-looking statements due to various risks and uncertainties, including those discussed in the 'Risk Factors' and 'Management's Discussion and Analysis of Financial Condition and Results of Operations' sections of Enovix's most recently filed annual report on Form 10-K and quarterly reports on Form 10-Q and other documents filed with the Securities and Exchange Commission. Any forward-looking statements in this press release speak only as of the date on which they are made or released. The Company undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events or otherwise, except as required by law. Investor Contact:Robert Laheyir@ Chief Financial Officer:Ryan Photos accompanying this announcement are available at in to access your portfolio
Geek Wire
3 days ago
- Business
- Geek Wire
‘Open-weight' debate: Allen Institute for AI says OpenAI needs to go further to be truly open
OLMo leader Hanna Hajishirzi of AI2 and the University of Washington delivers the luncheon keynote in 2023 during an event at the UW's Paul G. Allen School of Computer Science & Engineering. (GeekWire File Photo / Todd Bishop) OpenAI's new models may be 'open-weight,' but a leading artificial intelligence research institute says they aren't nearly open enough, asserting that the release highlights the ongoing question of what transparency in AI really means. That's the view of Hanna Hajishirzi, senior director of AI at the Seattle-based Allen Institute for AI (AI2) and a professor at the University of Washington. In a statement after OpenAI's announcement, Hajishirzi said AI2 is 'excited to see OpenAI has joined the efforts to release more 'open source' models,' but added that the move 'brings into focus the unresolved debate over what constitutes meaningful openness in AI.' 'At Ai2, we believe that meaningful progress in AI is best achieved in the open — not just with open weights, but with open data, transparent training methods, intermediate checkpoints from pre-training and mid-training, and shared evaluations,' she stated. For its part, OpenAI did release significant details about the models' architecture, including that they are transformers that use a Mixture-of-Experts (MoE) framework to reduce the number of active parameters needed for processing. The company also provided specifics on the models' layers, total and active parameters, and the number of experts. However, on the subject of training data, OpenAI did not release its proprietary dataset, noting only that it had a 'focus on STEM, coding, and general knowledge.' This contrasts with AI2's call for open data as a key pillar of transparency. OpenAI's announcement did highlight a specific commitment to transparency in one area: the model's reasoning process. The company said it intentionally avoided direct supervision of the model's 'chain-of-thought' (CoT) process to allow researchers to better monitor for misuse and deception. OpenAI stated its hope is that this 'gives developers and researchers the opportunity to research and implement their own CoT monitoring systems.' OpenAI also announced it is hosting a $500,000 Red Teaming Challenge to encourage researchers to find novel safety issues. The company said it will 'open-source an evaluation data set based on validated findings, so that the wider community can immediately benefit.' In the U.S., Facebook parent Meta has championed open-weight models since releasing the first of its Llama series in 2023. However, CEO Mark Zuckerberg has signaled the company may move away from open-source for future models, citing potential safety concerns. The competitive landscape for open-weight models was also shaken up earlier this year when the Chinese startup DeepSeek stunned Silicon Valley with the release of its open-weight AI technology, demonstrating the effectiveness of cheaper AI models. Ai2's Hajishirzi contrasted OpenAI's release with AI2's own fully open models, like OLMo, which include tools that provide full visibility into their training data. Hajishirzi called this a 'pivotal moment for the industry to align on deeper, more verifiable standards of openness that foster collaboration, accelerate innovation, and expand access for everyone.' She added, 'Now more than ever, we must rethink how AI is developed – where transparency, reproduciblity, and broad access are essential to form the foundation for sustainable innovation, public trust, and global competitiveness in AI.'
Economic Times
6 days ago
- Business
- Economic Times
A 24-year-old AI researcher turned down $125 million offer from Meta, Zuckerberg doubled it up to Rs 21,791,975,000
Meta's pursuit of 24-year-old AI researcher Matt Deitke has turned heads across Silicon Valley and beyond. After declining a $125 million offer, Deitke was approached personally by Meta CEO Mark Zuckerberg. Following their meeting, the offer was revised to $250 million in stock and cash, including as much as $100 million up front. According to a report by The New York Times, Deitke initially chose to focus on his AI startup Vercept instead of joining Meta's Superintelligence Lab. Two sources familiar with the talks said Zuckerberg's direct involvement changed that. The compensation was so significant that Deitke sought advice from trusted peers, many of whom urged him to take the deal. Eventually, he did. This isn't just a story about money. It signals how aggressively Big Tech is recruiting AI talent as the race to dominate artificial intelligence Deitke's path to prominence didn't follow a typical corporate route. He began in a PhD programme in computer science at the University of Washington but left before completion to focus on real-world AI problems. That decision led him to the Allen Institute for AI (AI2) in Seattle, where he quickly stood out. At AI2, Deitke led the creation of Molmo, a multimodal chatbot capable of processing not just text, but also images and audio. Unlike many language-based models, Molmo was designed to reason through visual and auditory data—an ambitious leap toward more human-like AI. The project was a success. His paper on the subject won an Outstanding Paper Award at NeurIPS 2022, one of the most respected conferences in the field. Out of more than 10,000 submissions, only a handful received the award. This achievement established Deitke as a serious figure in the AI community, one whose work wasn't just experimental but functional and (short for Multimodal Language Model) broke away from the conventions of typical AI chatbots. It wasn't limited to written language. It could interpret photos, understand sound inputs, and respond in a way that accounted for context across different system was capable of spatial reasoning and interpreting real-time sensory input, giving it an edge over traditional large language models that rely purely on text. These features aligned closely with Meta's own AI vision, which aims to build systems that can not only talk but also understand the world in a more layered, perceptive approach placed him at the forefront of AI research focused on perception and reasoning, two areas critical to advancing general-purpose late 2023, Deitke shifted focus again and co-founded Vercept, a startup aimed at building AI agents that act independently. Unlike typical AI tools that wait for human instructions, Vercept's agents were designed to identify goals, explore the internet, perform actions, and adjust to different digital idea was simple but bold: build AI that doesn't just respond, but thinks and acts. Vercept launched with just ten employees but quickly gained traction. The company raised $16.5 million in early funding. Among its high-profile backers was Eric Schmidt, former CEO of that, Deitke showed he wasn't only a researcher but an entrepreneur ready to challenge the industry from Superintelligence Lab is a cornerstone of its AI ambitions. The company has already spent over $1 billion assembling what some call an "all-star roster." It includes researchers lured from rivals like OpenAI, Anthropic, Apple, and of the most notable recent hires was Ruoming Pang, who previously led Apple's AI models team. His reported compensation exceeded $200 million. In that context, Meta's $250 million offer to Deitke doesn't seem so out of line—it's part of a broader strategy to corner elite talent before competitors combination of academic research, product vision, and startup experience made him a rare candidate. He had proven that he could not only theorise about the future of AI but actually build Deitke's journey—from dropping out of a PhD to building multimodal systems and rejecting $125 million—has become a symbol of how the AI landscape is shifting. The brightest minds are not just employees anymore. They're independent thinkers, entrepreneurs, and public intellectuals with negotiating eventual decision to join Meta suggests that the influence of Big Tech remains strong, but it's no longer unquestioned. Researchers like Deitke are now in a position to shape the direction of AI on their own Meta, like its rivals, knows it must offer more than just money. It has to offer vision, control, and the freedom to build what comes next.
Time of India
6 days ago
- Business
- Time of India
Who is Matt Deitke? 24-year-old AI genius who rejected Meta's $125 million offer and then Mark Zuckerberg personally met him with a doubled package
In the rapidly evolving world of artificial intelligence, few names have made waves quite like Matt Deitke. At just 24, Deitke turned heads by rejecting a $125 million offer from Meta to join its elite AI division. What followed was even more astonishing: Meta CEO Mark Zuckerberg personally met with him and doubled the offer to an eye-popping $250 million. Deitke's decision to finally accept showcases the extraordinary lengths Big Tech is now going to in order to secure top AI talent. But who is Matt Deitke, and why is he considered one of the brightest minds in artificial intelligence today? Matt Deitke's rise and how Mark Zuckerberg stepped in with a historic offer Matt Deitke began his academic career in a PhD programme in computer science at the University of Washington. Despite his early academic promise, he left the programme to pursue more hands-on work in artificial intelligence. This move surprised many but proved instrumental in shaping his career. Deitke joined the Allen Institute for AI (AI2) in Seattle, where he quickly made a name for himself. At AI2, Deitke led the development of Molmo, a state-of-the-art multimodal chatbot capable of understanding and reasoning through a combination of text, images, and audio. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Swelling and internal bleeding in the brain, help this baby Donate For Health Donate Now Undo His groundbreaking work earned him an Outstanding Paper Award at NeurIPS 2022, one of the most prestigious AI conferences in the world. With his rising reputation, it was not long before top tech companies began to notice. In 2024, Meta approached Deitke with a $125 million compensation package spread over four years to join its Superintelligence Lab. Surprisingly, he declined the offer, choosing to stay focused on independent research and his entrepreneurial ventures. Refusing to give up, Mark Zuckerberg personally met with Deitke to discuss Meta's vision for the future of AI. Following their conversation, the offer was doubled to approximately $250 million, with up to $100 million front-loaded in the first year. It was one of the most generous recruitment packages in AI history. This time, Deitke accepted. Building Molmo and earning global recognition at the Allen Institute for AI Before joining Meta, Deitke had already made significant contributions to AI research. At the Allen Institute for AI, he helped pioneer work on Molmo (Multimodal Language Model), a system designed to move beyond traditional text-based interaction by integrating visual and auditory data. Unlike chatbots that rely solely on language models, Molmo could respond with images, reason through spatial information, and interpret sensory input in real time. Deitke's work positioned him at the forefront of the next generation of AI tools—intelligent systems that combine perception and reasoning. His NeurIPS 2022 paper, which won an Outstanding Paper Award, drew attention for its bold approach to human-like AI reasoning. The achievement made Deitke not just a standout engineer but a thought leader in the AI space, someone capable of redefining how humans and machines interact. Vercept and Deitke's vision for autonomous AI agents In late 2023, while still outside the Big Tech ecosystem, Deitke co-founded Vercept, a startup aimed at building AI agents that can autonomously perform complex tasks on the internet. Unlike conventional AI tools that rely on human prompts, Vercept's agents are designed to understand goals, search the web, execute sequences of tasks, and adapt to new contexts. They essentially act like intelligent assistants with real-world functionality. Vercept began with just 10 employees but quickly attracted the attention of major investors. The company secured $16.5 million in early-stage funding, with notable backing from former Google CEO Eric Schmidt. The vision behind Vercept was simple but powerful: to create AI agents that don't just talk, but act. Matt Deitke's work at Vercept, combined with his academic and research accomplishments, painted a clear picture of his potential. As Big Tech continues its billion-dollar race to dominate AI, it is clear why Meta was willing to go to such extraordinary lengths to bring Deitke into the fold.
