Neuro-Symbolic AI Summer School 2025 - Day 2 | Centaur AI Institute скачать в хорошем качестве

Neuro-Symbolic AI Summer School 2025 - Day 2 | Centaur AI Institute

💬 Discord:   / discord   💻 GitHub: https://github.com/centaurinstitute 🤝 LinkedIn:   / centaur-ai-institute   Agenda: ​Day 2: Methods and Systems | AUG 15 0:00 Lobby 12:27 Bowen Li, Carnegie Mellon | Generalizing to New Situations in Robotics 59:18 Steve Carrow, IBM; Olga Vilenskaia, Centaur AI Institute; Kevin O'Connor, Centaur AI Institute | Explainability While Retaining Predictive Accuracy 1:56:56 Bin Yu, UC Berkeley | Interpretable and Veridical Data Science 2:47:37 Felix Petersen, Stanford | Deep Differentiable Logic Gate Networks 3:28:29 Hikaru Shindo, TU Darmstadt | Neuro-symbolic Agentic Systems 4:21:01 Soroush Saghafian, Harvard | Human + AI "Centaur" Systems 5:10:59 Pranava Madhyastha, City Univ London | New Results in Controllable Text Generation 6:00:41 Shange Tang, Princeton | State-of-the-art Performance in Automated Mathematical Theorem Proving 6:50:27 Ankit Anand, DeepMind | Curious Case of AI in Maths: Being Proficient in Advancing Open Conjectures in Maths Yet Having Struggles in AI for Education 7:48:18 Panel on The Future of AI 9:09:18 Alexander Gray, Centaur AI Institute | What's Coming Next and How to Participate Tired of the same old AI ideas and looking for something new? Or wondering if there are any deep alternatives to models that hallucinate, elude human debuggability, and have only limited ability to reason, plan, or do math? 📢 Please join us for the 4th Neuro-Symbolic AI Summer School (NSSS), a free, fully-remote meeting to be held Aug 14-15, 2025 - where you can learn how to be part of this exciting area at the most forward-looking cutting edge of AI. This year's theme is "AI for Precise Computation: Mathematics, Reasoning, and Planning".🎤 Speakers:Alexander Gray, Centaur AI InstituteAnkit Anand, DeepMindArtur Garcez, City Univ London  Arvind Narayanan, Princeton  Bin Yu, UC Berkeley  Bowen Li, Carnegie Mellon    Changlong Wu, Purdue  Felix Petersen, Stanford Leilani Gilpin, UC Santa Cruz  Mateo Zarlenga and Pietro Barbiero, Cambridge  Olga Vileskaia and Kevin O'Connor, Centaur AI Institute  Parikshit Ram, IBM Research  Parisa Kordjamshidi, Michigan State  Peihao Wang, UT AustinPranava Madhyastha, City Univ LondonSoroush Saghafian, Harvard  Sridhar Mahadevan, Adobe Research and UMass Amherst  Yong Lin, Princeton  🌐 NSSS ‘25 is the latest in a series of research and educational events that aim to accelerate progress in the fast-emerging area of neuro-symbolic AI by teaching graduate students, data scientists, and researchers principles from the side of AI they may be less familiar with, as well as presenting a curation of emerging research ideas at the intersection. 🎯 The focus of the event is on techniques, in particular those which augment neural network/ML ideas with symbolic AI ideas, to address at least three main open problems of AI: 1) human interpretability/controllability, 2) learning with less data/computation (e.g. via knowledge), and 3) out-of-distribution generalization (e.g. via reasoning). #AI #NeuroSymbolic #FutureOfAI