Machine learning methods relying on synthetic data are starting to be used in mathematics and theoretical physics. Michael R. Douglas discusses recent advances and ponders on the impact these methods will have in science.doi:10.1038/s42254-022-00431-9Michael R. Douglas...
Lefschetz Thimble Path Integral and its Application to Spin-Foam Model 1时3分 1229播放 CAS Key Laboratory of Theoretical Physics —— Institute of Theoretical Physics Chinese Academy of Sciences Seminar 52分钟 1080播放 Galilean-invariant XEFT 50分钟 806播放 暗物质晕内部结构研究 1时20分 1483播放 The...
, andMIT, I focused on applyingtoolsfrom theoretical physics to gain insight into machine learning and artificial intelligence. Recently, I worked on understandingneural scaling laws,pruning LLMs,robust learning,stochasticgradient-basedoptimization,causality, and thelarge-width expansionfor deep learning....
Theoretical chemistry seeks to provide theories and explanations for chemical observations whilst also posing questions to be answered by future experiments. Playing a key role in physical chemistry, it uses the laws of physics to predict molecular structure, dynamics, bonding, reactivity, physical prope...
Current machine learning systems operate, almost exclusively, in a statistical, or model-blind mode, which entails severe theoretical limits on their power and performance. Such systems cannot reason about interventions and retrospection and, therefore, cannot serve as the basis for strong AI. To ach...
- 《Journal of Physics Conference》 被引量: 0发表: 2021年 THEORETICAL FOUNDATIONS OF COMPUTER-AIDED LANGUAGE LEARNING Computer-aided language learning (CALL) is a teaching model in which the computer is used as a course tool in foreign language teaching. After the Second W... E Aslan,E Kuu...
“We are thrilled by the success of the machine, which could have huge implications for theoretical physics,” added Prof. Shannon. “The next step will be to give the machine an even more difficult problem, that humans haven’t managed to solve yet, and see whether the machine can...
Machine Learning in Pure Mathematics and Theoretical Physics (World Scientific, 2023). Wilkins, A. How AI mathematicians might finally deliver human-level reasoning. New Scientist (10 April 2024). Greiner-Petter, A. et al. Why machines cannot learn mathematics, yet. Preprint at https://arxiv....
Z. Allen-Zhu and Y. Li. Physics of language models: Part 3.2, knowledge manipulation. Preprint arXiv:2309.14402, 2023. K. Valmeekam, M. Marquez, S. Sreedharan, and S. Kambhampati. On the planning abilities of large langua...
Physics Lecture Notes Arora. The Computational Universe - Takes us on a broad sweep of scientific knowledge and related technologies: propositional logic of the ancient Greeks (microprocessors); quantum mechanics (silicon chips); network and system phenomena (internet and search engines); computational ...