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“Foundation models but for quantum mechanics, will be the next frontier for LLMs.” Periodic Labs’ Ekin Dogus Cubuk says logic and math gave AI its first proofs. At the quantum scale, where biology, chemistry and materials converge, models could begin inventing new matter itself. Ekin Dogus Cubuk Periodic Labs

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96,875 次观看 • 10 个月前 •via X (Twitter)

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Why haven’t LLMs done new science yet? One reason from Periodic Labs cofounder Ekin Dogus Cubuk: science is iterative. LLMs haven’t been able to iterate experimentally yet. “ LLMs can be very smart, but if they're not iterating on science, they won't discover science. To be honest, humans won't either. You put a human in a room without any chance to iterate on something, they won't discover anything important. So we feel like the important thing to teach these LLMs is the method of scientific inquiry.”

Why haven’t LLMs done new science yet? One reason from Periodic Labs cofounder Ekin Dogus Cubuk: science is iterative. LLMs haven’t been able to iterate experimentally yet. “ LLMs can be very smart, but if they're not iterating on science, they won't discover science. To be honest, humans won't either. You put a human in a room without any chance to iterate on something, they won't discover anything important. So we feel like the important thing to teach these LLMs is the method of scientific inquiry.”

a16z

53,361 次观看 • 10 个月前

ChatGPT learned from human feedback. The next generation of AI will learn from the laws of nature. Liam Fedus (co-creator of ChatGPT, now at Periodic Labs) says models will train through “experiment in the loop”, using real-world results, not human preference, as their reward function. Liam Fedus Periodic Labs

ChatGPT learned from human feedback. The next generation of AI will learn from the laws of nature. Liam Fedus (co-creator of ChatGPT, now at Periodic Labs) says models will train through “experiment in the loop”, using real-world results, not human preference, as their reward function. Liam Fedus Periodic Labs

a16z

73,051 次观看 • 10 个月前

Eric Schmidt says China has made the inverse decision to open-source its AI models Startups already use these free, high-quality LLMs Over the next 5–10 years, as we get closer to AGI and hit major milestones in biology/math, the market will likely flood with millions of smaller models

Eric Schmidt says China has made the inverse decision to open-source its AI models Startups already use these free, high-quality LLMs Over the next 5–10 years, as we get closer to AGI and hit major milestones in biology/math, the market will likely flood with millions of smaller models

Haider.

221,706 次观看 • 8 个月前

The moment is right to push forward into a new frontier for AI — one that is as fundamental as language, says Fei-Fei Li. That frontier is visual spatial intelligence. With Justin Johnson (Justin Johnson), her cofounder at World Labs, and a16z's martin_casado, Fei-Fei explains what unlocking this technology could mean, and why we’re in the midst of a “Cambrian explosion”:

The moment is right to push forward into a new frontier for AI — one that is as fundamental as language, says Fei-Fei Li. That frontier is visual spatial intelligence. With Justin Johnson (Justin Johnson), her cofounder at World Labs, and a16z's martin_casado, Fei-Fei explains what unlocking this technology could mean, and why we’re in the midst of a “Cambrian explosion”:

a16z

476,703 次观看 • 1 年前

Periodic Labs cofounder Liam Fedus on why so many physicists are working on AI: "I think [physics is] a great way to think about the world. It's very principled, very hard-nosed scientists, very careful. And I think it's just such an incredible field. You have such high leverage in computer science, in AI. And so I think a lot of physicists were seeing that." "After the discovery of the Higgs, I think a lot of high energy physicists were sort of looking for what's next." "Ultimately it becomes bottlenecked on the new apparatus for pushing the next energy frontier." "And I think a lot of physicists were looking at their skillset and looking at the progress elsewhere and saying like, hey, I think I could be a huge contributor elsewhere." Liam Fedus on No Priors with Elad Gil

Periodic Labs cofounder Liam Fedus on why so many physicists are working on AI: "I think [physics is] a great way to think about the world. It's very principled, very hard-nosed scientists, very careful. And I think it's just such an incredible field. You have such high leverage in computer science, in AI. And so I think a lot of physicists were seeing that." "After the discovery of the Higgs, I think a lot of high energy physicists were sort of looking for what's next." "Ultimately it becomes bottlenecked on the new apparatus for pushing the next energy frontier." "And I think a lot of physicists were looking at their skillset and looking at the progress elsewhere and saying like, hey, I think I could be a huge contributor elsewhere." Liam Fedus on No Priors with Elad Gil

a16z

41,088 次观看 • 4 个月前

Demis Hassabis believes classical AI is enough for drug discovery, like AlphaFold has shown. But quantum computers may shine in material science, where data is scarce. They could simulate complex materials like superconductors or solar panels. DeepMind is actively exploring this frontier for breakthroughs in energy and tech. Quantum simulations might generate the missing data needed for major inventions.

Demis Hassabis believes classical AI is enough for drug discovery, like AlphaFold has shown. But quantum computers may shine in material science, where data is scarce. They could simulate complex materials like superconductors or solar panels. DeepMind is actively exploring this frontier for breakthroughs in energy and tech. Quantum simulations might generate the missing data needed for major inventions.

Wes Roth

53,450 次观看 • 6 个月前

Demis Hassabis recommendation for college students. He’s still do STEM, math and computer science. Expertise in those fields will help better leverage AI for at least next decade. Those in non-techical majors, really “lean in to” using latest models. AI labs spending so much time creating new models that they’ve only “scratched the surface” of what the models can actually do (huge “capability overhang”). And expertise in any field can be turbocharged by smart use of AI. “Double down on your own agency. The future is still to be written. Don’t listen to anyone that says it’s not.”

Demis Hassabis recommendation for college students. He’s still do STEM, math and computer science. Expertise in those fields will help better leverage AI for at least next decade. Those in non-techical majors, really “lean in to” using latest models. AI labs spending so much time creating new models that they’ve only “scratched the surface” of what the models can actually do (huge “capability overhang”). And expertise in any field can be turbocharged by smart use of AI. “Double down on your own agency. The future is still to be written. Don’t listen to anyone that says it’s not.”

Bearly AI

218,146 次观看 • 2 个月前

🚀 SEALSQ $LAES at Times Square — Leading the Future of Quantum & AI Security! We’re proud to share that SEALSQ was featured today on the Nasdaq Tower in Times Square, announcing that our CEO Carlos Moreira will deliver the Opening Keynote at IQT Quantum + AI 2025, taking place October 19–21 in New York City. 🎤 Keynote: “AI Meets Quantum: Building Unbreakable Post-Quantum Security” Carlos will explore how AI and Quantum Computing are converging to redefine cybersecurity and shape the next era of digital trust. He will also join Panel 8: CEO Roundtable, alongside top executives from Rigetti, ORCA, SEEQC, and Arqit, to discuss the business and technology strategies driving the quantum revolution. 🔐 During the event, SEALSQ will present updates on its groundbreaking Quantum Shield “QS7001” — a RISC-V-based post-quantum secure hardware platform — and the progress of its Common Criteria EAL5+ certification with Serma Labs. The QS7001 platform integrates Kyber and Dilithium (NIST-standardized post-quantum algorithms) with advanced hardware accelerators for low-latency, high-throughput encryption, ensuring robust protection for IoT, automotive, healthcare, and critical infrastructure systems. 🌐 With this innovation, SEALSQ enables partners to future-proof devices against both classical and quantum attacks, ensuring compliance, efficiency, and trust in a rapidly evolving digital landscape. 💬 “Quantum and AI represent both opportunity and risk. With the Quantum Shield QS7001 platform and our broader post-quantum roadmap, SEALSQ is building the security foundation required to protect critical infrastructure, connected devices, and human data against the threats of tomorrow.” — Carlos Moreira, CEO, SEALSQ 📍 Event Details: 🗓️ October 19–21, 2025 📍 New York City 🎤 Opening Keynote: “AI Meets Quantum: Building Unbreakable Post-Quantum Security” 👤 Speaker: Carlos Moreira, CEO, SEALSQ 💼 Panel 8: CEO Roundtable featuring Rigetti, ORCA, SEEQC, Arqit, and SEALSQ #SEALSQ #PostQuantum #AI #QuantumComputing #Cybersecurity #TimesSquare #Nasdaq #IQT2025 #Innovation #RISC-V #Kyber #Dilithium #FutureOfSecurity

🚀 SEALSQ $LAES at Times Square — Leading the Future of Quantum & AI Security! We’re proud to share that SEALSQ was featured today on the Nasdaq Tower in Times Square, announcing that our CEO Carlos Moreira will deliver the Opening Keynote at IQT Quantum + AI 2025, taking place October 19–21 in New York City. 🎤 Keynote: “AI Meets Quantum: Building Unbreakable Post-Quantum Security” Carlos will explore how AI and Quantum Computing are converging to redefine cybersecurity and shape the next era of digital trust. He will also join Panel 8: CEO Roundtable, alongside top executives from Rigetti, ORCA, SEEQC, and Arqit, to discuss the business and technology strategies driving the quantum revolution. 🔐 During the event, SEALSQ will present updates on its groundbreaking Quantum Shield “QS7001” — a RISC-V-based post-quantum secure hardware platform — and the progress of its Common Criteria EAL5+ certification with Serma Labs. The QS7001 platform integrates Kyber and Dilithium (NIST-standardized post-quantum algorithms) with advanced hardware accelerators for low-latency, high-throughput encryption, ensuring robust protection for IoT, automotive, healthcare, and critical infrastructure systems. 🌐 With this innovation, SEALSQ enables partners to future-proof devices against both classical and quantum attacks, ensuring compliance, efficiency, and trust in a rapidly evolving digital landscape. 💬 “Quantum and AI represent both opportunity and risk. With the Quantum Shield QS7001 platform and our broader post-quantum roadmap, SEALSQ is building the security foundation required to protect critical infrastructure, connected devices, and human data against the threats of tomorrow.” — Carlos Moreira, CEO, SEALSQ 📍 Event Details: 🗓️ October 19–21, 2025 📍 New York City 🎤 Opening Keynote: “AI Meets Quantum: Building Unbreakable Post-Quantum Security” 👤 Speaker: Carlos Moreira, CEO, SEALSQ 💼 Panel 8: CEO Roundtable featuring Rigetti, ORCA, SEEQC, Arqit, and SEALSQ #SEALSQ #PostQuantum #AI #QuantumComputing #Cybersecurity #TimesSquare #Nasdaq #IQT2025 #Innovation #RISC-V #Kyber #Dilithium #FutureOfSecurity

Carlos Creus Moreira

12,991 次观看 • 10 个月前

"We have this long term vision of turning biology from something which is trial and error and experimental and make it something that looks more like an engineering discipline in the next century." New Episode with Jack Dent ! 0:00 Intro 02:28 Inside Stripe w/ Patrick Collison, at <100 People 08:45 Sam Altman role in Chai Discovery origin 16:20 Chai-2 Antibody Breakthrough 19:24 Approaching biology as an engineering problem 24:45 Using AI models to treat people on an individual scale 26:52 Robotics in labs 27:22 Pharma industry today 29:49 The clinical trial bottleneck 32:53 Personalized biology models & cancer vaccines 36:24 Longevity, peptides, and trillion-dollar drugs 39:02 Does it matter that the government cut exploratory science grants? 41:00 What next-gen Chai models will do 42:08 Can frontier AI labs build this themselves? 43:26 Biology is hard

"We have this long term vision of turning biology from something which is trial and error and experimental and make it something that looks more like an engineering discipline in the next century." New Episode with Jack Dent ! 0:00 Intro 02:28 Inside Stripe w/ Patrick Collison, at <100 People 08:45 Sam Altman role in Chai Discovery origin 16:20 Chai-2 Antibody Breakthrough 19:24 Approaching biology as an engineering problem 24:45 Using AI models to treat people on an individual scale 26:52 Robotics in labs 27:22 Pharma industry today 29:49 The clinical trial bottleneck 32:53 Personalized biology models & cancer vaccines 36:24 Longevity, peptides, and trillion-dollar drugs 39:02 Does it matter that the government cut exploratory science grants? 41:00 What next-gen Chai models will do 42:08 Can frontier AI labs build this themselves? 43:26 Biology is hard

Sabrina Halper

39,122 次观看 • 2 个月前

Today, PsiQuantum breaks ground on Australia's quantum future at the site of the world's first utility-scale, fault-tolerant quantum computer. Located at Moreton Bay Central in Queensland, Australia, the facility will house large-scale cryogenic infrastructure and tens of thousands of photonic quantum chips networked together with standard optical fiber. This milestone marks the beginning of the next phase of our mission to build and deploy utility-scale quantum computers capable of solving commercially relevant problems across medicine, materials science, energy, manufacturing, finance, and beyond. We're grateful for the support of the Australian Government, Queensland Government, City of Moreton Bay, and our many partners. Learn more:

Today, PsiQuantum breaks ground on Australia's quantum future at the site of the world's first utility-scale, fault-tolerant quantum computer. Located at Moreton Bay Central in Queensland, Australia, the facility will house large-scale cryogenic infrastructure and tens of thousands of photonic quantum chips networked together with standard optical fiber. This milestone marks the beginning of the next phase of our mission to build and deploy utility-scale quantum computers capable of solving commercially relevant problems across medicine, materials science, energy, manufacturing, finance, and beyond. We're grateful for the support of the Australian Government, Queensland Government, City of Moreton Bay, and our many partners. Learn more:

PsiQuantum

12,928 次观看 • 1 个月前

The way math is presented can be really misleading about the actual nature of math. In theory, someone could have discovered quantum information theory decades before quantum mechanics even existed. It's just about combining linear algebra with probability. But nobody would have known it was worth combining these fields - or how, exactly, to combine them - before QM. Math papers and textbooks go rigourously step-by-step, starting with axioms and definitions, then deducing theorems. It's great for making sure proofs can be verified and ensuring the subject is based on sound logic. But for learners, it hides the really important thing: where did the axioms come from? Why these definitions and not others? The thing that's missing is the sense that there were concrete problems that these ideas helped solve.

The way math is presented can be really misleading about the actual nature of math. In theory, someone could have discovered quantum information theory decades before quantum mechanics even existed. It's just about combining linear algebra with probability. But nobody would have known it was worth combining these fields - or how, exactly, to combine them - before QM. Math papers and textbooks go rigourously step-by-step, starting with axioms and definitions, then deducing theorems. It's great for making sure proofs can be verified and ensuring the subject is based on sound logic. But for learners, it hides the really important thing: where did the axioms come from? Why these definitions and not others? The thing that's missing is the sense that there were concrete problems that these ideas helped solve.

Dwarkesh Patel

58,593 次观看 • 1 个月前

If you invest in quantum, you invest in the US national security. $INFQ CEO Matt Kinsella says the GPS will be the first thing to go in case of a full scale conflict. The company’s sensors can replace GPS with precise timing. $INFQ sells to NASA and the US Department of War. It looks like $INFQ could be selected for quantum sensors as explained in the Executive Order 14413 on Quantum Innovation last week.

If you invest in quantum, you invest in the US national security. $INFQ CEO Matt Kinsella says the GPS will be the first thing to go in case of a full scale conflict. The company’s sensors can replace GPS with precise timing. $INFQ sells to NASA and the US Department of War. It looks like $INFQ could be selected for quantum sensors as explained in the Executive Order 14413 on Quantum Innovation last week.

Investor Denis

21,943 次观看 • 1 个月前

“I think the right way to think about foundation labs is that they're like movie studios.” Each model is a blockbuster: huge budget, short lifetime, then the sequel. And the franchise name endures. w/ Ben Scharfstein, Scale AI

“I think the right way to think about foundation labs is that they're like movie studios.” Each model is a blockbuster: huge budget, short lifetime, then the sequel. And the franchise name endures. w/ Ben Scharfstein, Scale AI

a16z

20,579 次观看 • 11 个月前

The German Federal Innovation Agency is running a €125m competition to fund 3 new Frontier AI labs in Europe! "Next Frontier AI" is a pan-European initiative led by SPRIND, Federal Agency for Breakthrough Innovation to create three globally relevant Frontier AI labs. It starts with a €125m challenge where up to 10 teams receive funding over 24 months to build frontier-lab capabilities, including team, infrastructure, prototypes, evaluation discipline, and early pilots. The best-performing teams will then receive structured support toward raising ~€1 billion each. Europe has some of the top AI companies in the world, but as a continent we are massively dependent on frontier labs from other countries. This initiative seeks to change that and I am HERE FOR IT.

The German Federal Innovation Agency is running a €125m competition to fund 3 new Frontier AI labs in Europe! "Next Frontier AI" is a pan-European initiative led by SPRIND, Federal Agency for Breakthrough Innovation to create three globally relevant Frontier AI labs. It starts with a €125m challenge where up to 10 teams receive funding over 24 months to build frontier-lab capabilities, including team, infrastructure, prototypes, evaluation discipline, and early pilots. The best-performing teams will then receive structured support toward raising ~€1 billion each. Europe has some of the top AI companies in the world, but as a continent we are massively dependent on frontier labs from other countries. This initiative seeks to change that and I am HERE FOR IT.

Seb Johnson

24,124 次观看 • 3 个月前

Priscilla Chan and Mark Zuckerberg on Curing All Disease We sat down with Dr. Priscilla Chan and Mark Zuckerberg, co-founders of the Chan Zuckerberg Initiative, to discuss their ambitious plan to cure, prevent, and manage all disease by the end of the century. CZI’s Biohub aims to generate vast biological datasets to train new frontier AI models to guide scientists in the lab, creating a feedback loop to accelerate the pace of basic science and take us towards a world without disease. 00:00 Introduction 03:42 Building tools to accelerate scientific discovery 07:03 Biohub = Frontier Biology + Frontier AI 13:32 "Most diseases should be thought of as rare diseases” 15:39 Inspiration: building a periodic table for biology 19:27 Why virtual cells? 21:17 The Biohub master plan 33:36 The importance of interface design in democratizing scientific discovery 35:34 How Biohub encourages cross-functional collaboration 40:38 Looking ahead: the broader impact of AI on biotech benahorowitz.eth Vineeta Agarwala Erik Torenberg

Priscilla Chan and Mark Zuckerberg on Curing All Disease We sat down with Dr. Priscilla Chan and Mark Zuckerberg, co-founders of the Chan Zuckerberg Initiative, to discuss their ambitious plan to cure, prevent, and manage all disease by the end of the century. CZI’s Biohub aims to generate vast biological datasets to train new frontier AI models to guide scientists in the lab, creating a feedback loop to accelerate the pace of basic science and take us towards a world without disease. 00:00 Introduction 03:42 Building tools to accelerate scientific discovery 07:03 Biohub = Frontier Biology + Frontier AI 13:32 "Most diseases should be thought of as rare diseases” 15:39 Inspiration: building a periodic table for biology 19:27 Why virtual cells? 21:17 The Biohub master plan 33:36 The importance of interface design in democratizing scientific discovery 35:34 How Biohub encourages cross-functional collaboration 40:38 Looking ahead: the broader impact of AI on biotech benahorowitz.eth Vineeta Agarwala Erik Torenberg

a16z

377,035 次观看 • 9 个月前

BREAKING: Max Cook (Max Cook), Sector Head at Coatue (COATUE) says.. "The keyboard & mouse are slowly dying." :( Cook also offers a bigger Q for the market: "What happens when OpenAI or Anthropic decide to offer smaller, cheaper, fine-tuned production models as products?" Cook argues the real AI debate might actually not be open vs. closed models It's what happens when frontier labs begin competing across the entire model stack.. Offering everything from cutting-edge reasoning models to smaller, efficient, low-cost, production-grade models for enterprise

BREAKING: Max Cook (Max Cook), Sector Head at Coatue (COATUE) says.. "The keyboard & mouse are slowly dying." :( Cook also offers a bigger Q for the market: "What happens when OpenAI or Anthropic decide to offer smaller, cheaper, fine-tuned production models as products?" Cook argues the real AI debate might actually not be open vs. closed models It's what happens when frontier labs begin competing across the entire model stack.. Offering everything from cutting-edge reasoning models to smaller, efficient, low-cost, production-grade models for enterprise

Molly O’Shea

302,811 次观看 • 1 个月前

Mark Zuckerberg says progress comes from inventing tools that let us observe the world in a new way, from the microscope to AI models that simulate life itself. "Most major breakthroughs are basically preceded by the invention of a new tool to observe phenomena in a new way." “And then you try to unlock those tools and give them to the scientific community to accelerate the pace.”

Mark Zuckerberg says progress comes from inventing tools that let us observe the world in a new way, from the microscope to AI models that simulate life itself. "Most major breakthroughs are basically preceded by the invention of a new tool to observe phenomena in a new way." “And then you try to unlock those tools and give them to the scientific community to accelerate the pace.”

a16z

58,755 次观看 • 9 个月前

Palantir CTO Shyam Sankar says Chinese open source models pose a "threat to American Prosperity": "These Chinese open source models are really the result of distillation attacks." "Most of this is just stolen American IP from frontier labs, and I think the frontier labs should do more to protect that IP, and that's in their own economic interest." "The gravest threat to us is not homicide, it's suicide." "It's an inability to turn these tokens into economic value and generate American prosperity for it." "You see that with the proposed moratorium in New York on data centers. Turning our back on AI would be as consequential a mistake as turning our back on the atom in the '70s." "It's just the beginning, but we're starting to see a burgeoning US open model ecosystem forming." "NVIDIA's Nemotron models are very good." "I think you're going to see in the next month a slate of announcements of other American companies, non-frontier labs, neo labs, who are putting out open weight models that companies are going to be able to cheaply fine-tune and capture their own alpha in weights they control." Via Bloomberg

Palantir CTO Shyam Sankar says Chinese open source models pose a "threat to American Prosperity": "These Chinese open source models are really the result of distillation attacks." "Most of this is just stolen American IP from frontier labs, and I think the frontier labs should do more to protect that IP, and that's in their own economic interest." "The gravest threat to us is not homicide, it's suicide." "It's an inability to turn these tokens into economic value and generate American prosperity for it." "You see that with the proposed moratorium in New York on data centers. Turning our back on AI would be as consequential a mistake as turning our back on the atom in the '70s." "It's just the beginning, but we're starting to see a burgeoning US open model ecosystem forming." "NVIDIA's Nemotron models are very good." "I think you're going to see in the next month a slate of announcements of other American companies, non-frontier labs, neo labs, who are putting out open weight models that companies are going to be able to cheaply fine-tune and capture their own alpha in weights they control." Via Bloomberg

Jawwwn

180,421 次观看 • 24 天前

DAN IVES JUST GAVE HIS TAKE ON WHERE THE QUANTUM COMPUTING RACE ACTUALLY STANDS The Wedbush analyst was asked what inning we're in. His answer: "We're maybe in the dugout in warmups, getting ready for the first inning. The game hasn't started." Ives calls quantum a "derivative play on AI" that will eventually become the next level pushing AI forward. He points to names like IonQ $IONQ and D-Wave $QBTS that he says have "phenomenal technologies" still building toward scale. He's most bullish on IBM $IBM, framing its quantum and AI bets as a real turnaround: "This is just the start of these turnarounds, and IBM continues to be one that has massive upside." He says CEO Arvind Krishna is "way underappreciated" for seeing where the technology is heading, putting him in the same tier as Jensen Huang. On the runway ahead, Ives pegs AI spending at $1 trillion over the next 3-4 years and says we're only 15%-20% through it. His bigger picture: "This is how we're going to get Nasdaq 30,000." Dan Ives

DAN IVES JUST GAVE HIS TAKE ON WHERE THE QUANTUM COMPUTING RACE ACTUALLY STANDS The Wedbush analyst was asked what inning we're in. His answer: "We're maybe in the dugout in warmups, getting ready for the first inning. The game hasn't started." Ives calls quantum a "derivative play on AI" that will eventually become the next level pushing AI forward. He points to names like IonQ $IONQ and D-Wave $QBTS that he says have "phenomenal technologies" still building toward scale. He's most bullish on IBM $IBM, framing its quantum and AI bets as a real turnaround: "This is just the start of these turnarounds, and IBM continues to be one that has massive upside." He says CEO Arvind Krishna is "way underappreciated" for seeing where the technology is heading, putting him in the same tier as Jensen Huang. On the runway ahead, Ives pegs AI spending at $1 trillion over the next 3-4 years and says we're only 15%-20% through it. His bigger picture: "This is how we're going to get Nasdaq 30,000." Dan Ives

WOLF

112,264 次观看 • 2 个月前

We’ve released Open Molecules 2025 (OMol25), a new Density Functional Theory (DFT) dataset for molecular chemistry, and Meta's Universal Model for Atoms (UMA), a machine learning interatomic potential. These tools will accelerate molecular and materials discovery, unlocking new possibilities for innovation and impact. OMol25 is the largest and most diverse dataset of high accuracy quantum chemistry calculations for biomolecules, metal complexes, and electrolytes. UMA is trained on over 30 billion atoms to provide more accurate predictions and improved understanding of molecular behavior. Download the papers, models, and datasets for OMol25 and UMA ➡️

We’ve released Open Molecules 2025 (OMol25), a new Density Functional Theory (DFT) dataset for molecular chemistry, and Meta's Universal Model for Atoms (UMA), a machine learning interatomic potential. These tools will accelerate molecular and materials discovery, unlocking new possibilities for innovation and impact. OMol25 is the largest and most diverse dataset of high accuracy quantum chemistry calculations for biomolecules, metal complexes, and electrolytes. UMA is trained on over 30 billion atoms to provide more accurate predictions and improved understanding of molecular behavior. Download the papers, models, and datasets for OMol25 and UMA ➡️

AI at Meta

41,795 次观看 • 1 年前