Rapid advances in the capabilities of large language models and the broad accessibility of tools powered by this technology have led to both excitement and concern regarding their use in science. Four experts in artificial intelligence ethics and policy
Physics of language models We propose dividing the concept of "intelligence" into multiple dimensions (such as structures, knowledge, reasoning, etc.). For each dimension, we create synthetic data and build an idealized environment for LLM training to understand the theory and push the capability ...
PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models PhyGrasp通过物理信息的大型多模态模型泛化机器人抓取 更多内容关注公众号: AIRoobt 作者对模型的介绍及效果: 摘要:…
Computational reconstruction of mental representations using human behavior Article Open access 17 May 2024 A number sense as an emergent property of the manipulating brain Article Open access 21 March 2024 Visual cognition in multimodal large language models Article Open access 15 January 2025 ...
“The accuracy level of today’s large language models (LLMs) is not up to the mark where we can provide reliable and satisfactory answers to the students all the time—specifically, if it’s a hard mathematical problem involving complex equations,” Govil sa...
The following guidance refers only to the writing process, and not to the use of AI tools to analyse and draw insights from data as part of the research process: Generative AI and AI-assisted technologies should only be used in the writing process to improve the readability and language of ...
Superconducting qubits can be fabricated and controlled in large numbers, which makes them an appealing platform for quantum simulations of many-body physics. However, a scalable way of implementing electromagnetism has been lacking — until now. ...
Modeling human mobility is key for urban planning, sustainability, public health, and economic development. The authors show that simple machine-learned closed-form models are as predictive of mobility flows as complex machine learning models, perform well in extrapolation, work across datasets and sca...
publish the best applied physics paper, the journal offers language assistance. We realize that publishing the highest quality of science has to be done in conjunction with the effort to have all components of a publication done right, including professional graphical presentations and language quality...
to create a large experimental design. In such cases, it can be beneficial to constrain the surrogate approximation to adhere to the known physics of the model. This paper presents a novel methodology for the construction of physics-informed polynomial chaos expansions (PCE) that combines the ...