Posts with #MathAI

#MathAI

Public posts on X that use #MathAI.

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  1. Stella Yang@linglin66043122
    The Optical Black Box: How does signal mathematically transform into PSF? Inspired by Cambridge team’s spin-multiplexed PSF work in Light journal, I finished this mathematical transformation diagram independently. #MathAI #OpticalComputing #PSF
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  2. Pan Lu✓@lupantech
    Gratitude to our esteemed speakers, insightful panelists, engaged attendees, and dedicated organizers (@LiangZhenwen, @AlbertQJiang, @katie_m_collins, @KaiyuYang4, @wellecks, and @JLMcClelland) for making the 3rd #MATHAI workshop at #NeurIPS2023 an extraordinary success!!
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    Pan Lu @lupantech
    📢 Can't wait to see you at the 3rd #MathAI Workshop in the LLM Era at #NeurIPS2023! ⏰ 8:55am - 5:00pm, Friday, Dec 15 📍 Room 217-219 🔗 📽️ Exciting Lineup: ⭐️ Six insightful talks by @KristinLauter, @BaraMoa, @noahdgoodman, @guyvdb, @xinyun_chen_, @denny_zhou, and @paul_smolensky. ⭐️ Engaging panel discussion featuring @wtgowers, @Mateja_Jamnik, @TaliaRinger, Armando Solar-Lezama, and @Yuhu_ai_. ⭐️ Three oral presentations. ⭐️ A poster session of 41 accepted papers. 💡 Special thanks to our brilliant organizing team: @LiangZhenwen, @AlbertQJiang, @katie_m_collins, @KaiyuYang4, @wellecks, and @JLMcCelland!
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  3. Pan Lu✓@lupantech
    📢 Can't wait to see you at the 3rd #MathAI Workshop in the LLM Era at #NeurIPS2023! ⏰ 8:55am - 5:00pm, Friday, Dec 15 📍 Room 217-219 🔗 📽️ Exciting Lineup: ⭐️ Six insightful talks by @KristinLauter, @BaraMoa, @noahdgoodman, @guyvdb, @xinyun_chen_, @denny_zhou, and @paul_smolensky. ⭐️ Engaging panel discussion featuring @wtgowers, @Mateja_Jamnik, @TaliaRinger, Armando Solar-Lezama, and @Yuhu_ai_. ⭐️ Three oral presentations. ⭐️ A poster session of 41 accepted papers. 💡 Special thanks to our brilliant organizing team: @LiangZhenwen, @AlbertQJiang, @katie_m_collins, @KaiyuYang4, @wellecks, and @JLMcCelland!
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  4. Stella Yang@linglin66043122
    Topology, Symmetry & Math AI: Trinity Geometric Mapping Manifolds & neural net archs bridge and fit all logical pieces perfectly. Global symmetry invariance, completing bidirectional self- consistent mapping. 👇 #MathAI #Topology #MathematicalAI
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  5. Siddhartha Gadgil@SidGadgil
    I continue my series of blog posts about AI+Lean in mathematics. This time I focus on how mathematics can be viewed as a natural science, and AI+Lean show great promise from this viewpoint. #leanlang #mathai
    Siddhartha Gadgil @SidGadgil
    Wrote a (long) blog yesterday about the future of AI in mathematics motivated by the IMO Golds, and also just an urge to write what I had understood about AI over the years. I was also provoked by the many annoying articles that have started to appear on this.
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  6. Siddhartha Gadgil@SidGadgil
    Wrote a (long) blog yesterday about the future of AI in mathematics motivated by the IMO Golds, and also just an urge to write what I had understood about AI over the years. I was also provoked by the many annoying articles that have started to appear on this.
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  7. Adel Javanmard@AdelJavanmard
    #FirstProof Challenge: #Aletheia (powered by Gemini 3 Deep Think) solved 6/10 FirstProof problems fully autonomously! Check our paper for a transparent and detailed description of the process and the evaluation: #MathAI
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    13432K
  8. Pan Lu✓@lupantech
    ⭐️ @xinyun_chen_ from Google DeepMind is presenting their interesting recent work on Analogical Reasoning! Check it out here: #MATHAI #NeurIPS2023 #AI #Analogy
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    Pan Lu @lupantech
    📢 Can't wait to see you at the 3rd #MathAI Workshop in the LLM Era at #NeurIPS2023! ⏰ 8:55am - 5:00pm, Friday, Dec 15 📍 Room 217-219 🔗 📽️ Exciting Lineup: ⭐️ Six insightful talks by @KristinLauter, @BaraMoa, @noahdgoodman, @guyvdb, @xinyun_chen_, @denny_zhou, and @paul_smolensky. ⭐️ Engaging panel discussion featuring @wtgowers, @Mateja_Jamnik, @TaliaRinger, Armando Solar-Lezama, and @Yuhu_ai_. ⭐️ Three oral presentations. ⭐️ A poster session of 41 accepted papers. 💡 Special thanks to our brilliant organizing team: @LiangZhenwen, @AlbertQJiang, @katie_m_collins, @KaiyuYang4, @wellecks, and @JLMcCelland!
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  9. AI Mood@DacGovern
    OpenAI just announced AI agents solved the famous Navier-Stokes Millennium Prize Problem, a tough math puzzle that’s remained unsolved for almost 90 years. #OpenAI #MathAI
    OpenAI @OpenAI
    We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
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  10. OpenAI✓@OpenAI
    We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
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  11. Zilong Zheng✓@ZilongZheng
    🚨 Introducing Native Parallel Reasoner (NPR): A teacher-free framework that lets LLMs self-evolve genuine parallel reasoning. Up to 24.5% performance boost & 4.6x inference speedup on 8 benchmarks. No more pseudo-parallelism! 🧵👇1/
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  12. Zilong Zheng✓@ZilongZheng
    @ZilongZheng
    Self-distilled but Performance keeps/gains: Across 8 reasoning benchmarks, NPR hits an average of 64.4% (from Qwen3-4B Non-thinking, performance gain +24.5%) and 65.0% (from Qwen3-4B-Inst). On AIME25, NPR reach a performance gain +34.7%. #MathAI 6/
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  13. Pan Lu✓@lupantech
    ⭐️ Awesome! @guyvdb from UCLA is presenting the talk "AI Can Learn from Data. But Can It Learn to Reason?" offering insights from a logical and probabilistic perspective! #MATHAI #NeurIPS23 #Logic #Reasoning #AI
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    Pan Lu @lupantech
    📢 Can't wait to see you at the 3rd #MathAI Workshop in the LLM Era at #NeurIPS2023! ⏰ 8:55am - 5:00pm, Friday, Dec 15 📍 Room 217-219 🔗 📽️ Exciting Lineup: ⭐️ Six insightful talks by @KristinLauter, @BaraMoa, @noahdgoodman, @guyvdb, @xinyun_chen_, @denny_zhou, and @paul_smolensky. ⭐️ Engaging panel discussion featuring @wtgowers, @Mateja_Jamnik, @TaliaRinger, Armando Solar-Lezama, and @Yuhu_ai_. ⭐️ Three oral presentations. ⭐️ A poster session of 41 accepted papers. 💡 Special thanks to our brilliant organizing team: @LiangZhenwen, @AlbertQJiang, @katie_m_collins, @KaiyuYang4, @wellecks, and @JLMcCelland!
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  14. Pan Lu✓@lupantech
    ⭐️ Welcome to the final talk by @paul_smolensky from Microsoft Research, as he shares his insights on symbolic reasoning in Transformers! #MATHAI #NeurIPS2023 #Symbolic
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    Pan Lu @lupantech
    📢 Can't wait to see you at the 3rd #MathAI Workshop in the LLM Era at #NeurIPS2023! ⏰ 8:55am - 5:00pm, Friday, Dec 15 📍 Room 217-219 🔗 📽️ Exciting Lineup: ⭐️ Six insightful talks by @KristinLauter, @BaraMoa, @noahdgoodman, @guyvdb, @xinyun_chen_, @denny_zhou, and @paul_smolensky. ⭐️ Engaging panel discussion featuring @wtgowers, @Mateja_Jamnik, @TaliaRinger, Armando Solar-Lezama, and @Yuhu_ai_. ⭐️ Three oral presentations. ⭐️ A poster session of 41 accepted papers. 💡 Special thanks to our brilliant organizing team: @LiangZhenwen, @AlbertQJiang, @katie_m_collins, @KaiyuYang4, @wellecks, and @JLMcCelland!
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  15. Derya Unutmaz, MD✓@DeryaTR_
    AI is accelerating science at breakneck speed. We are living through Science 3.0. In the next decade, there will be more scientific advances than in the entire past century! “Researchers released 36 preprints produced with a single suite of AI tools called BootLoops, a harness usable with any frontier AI model. In just 3 months, researchers used Claude with BootLoops to cross-pollinate at massive scale, spotting and solving problems in unrelated fields that share the same mathematical structures. The papers range widely, from figuring out the age of sunspots to analyzing government health policies to deciphering a mysterious medieval manuscript.”
    Science Magazine @ScienceMagazine
    Borrowing an idea from one research discipline to solve a thorny problem in another is an age-old scientific trick. Charles Darwin’s theory of natural selection, for example, famously inspired algorithms in computer science that “evolve” solutions to complex problems. But such clever leaps are fleetingly rare. For #AI, however, hopping between fields can be a breeze. Researchers highlighted that ability with the release of 36 preprints produced with a single suite of AI tools called BootLoops. The so-called harness can be used with any large language model, such as Anthropic’s Claude or OpenAI’s ChatGPT. And in just 3 months, researchers used Claude outfitted with BootLoops to cross-pollinate at a massive scale, spotting—and precisely solving—problems in seemingly unrelated fields that share the same mathematical structures. The resulting papers range widely, from figuring out the age of sunspots, to analyzing government health policies, to attempting to decipher a mysterious medieval manuscript. Learn more:
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  16. Science Magazine✓@ScienceMagazine
    Borrowing an idea from one research discipline to solve a thorny problem in another is an age-old scientific trick. Charles Darwin’s theory of natural selection, for example, famously inspired algorithms in computer science that “evolve” solutions to complex problems. But such clever leaps are fleetingly rare. For #AI, however, hopping between fields can be a breeze. Researchers highlighted that ability with the release of 36 preprints produced with a single suite of AI tools called BootLoops. The so-called harness can be used with any large language model, such as Anthropic’s Claude or OpenAI’s ChatGPT. And in just 3 months, researchers used Claude outfitted with BootLoops to cross-pollinate at a massive scale, spotting—and precisely solving—problems in seemingly unrelated fields that share the same mathematical structures. The resulting papers range widely, from figuring out the age of sunspots, to analyzing government health policies, to attempting to decipher a mysterious medieval manuscript. Learn more:
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    43919138.4K
  17. Ⓙⓐⓒⓚ Ⓗⓘⓓⓐⓡⓨ✓@jackhidary
    @DeryaTR_
    Agreed. As another example, the recent #mathAI breakthroughs will lead to applications we can hardly fathom today. The development of imaginary numbers hundreds of years ago led to powerful tools we use in quantum mechanics, engineering and 3d graphics. These new breakthroughs will impact the real world much faster.
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  18. Abhishek Balija@AbhishekBalija1
    Here it is. The wait is over. 🚀 Introducing NeoMath an AI math tool that solves problems step by step, not just answers. Early access is live, would love feedback from the users👇 #BuildInPublic #SaaS #MathAI
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  19. Katie Collins✓@katie_m_collins
    There have been tremendous advances at the nexus of AI + mathematics. But it’s worth reflecting what our goals are for automated mathematicians. In our brief position piece for the #MathAI workshop @NeurIPSConf, we argue now is a great time to look to CogSci for reflection! 1/
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    79347982.3K
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