Nature

A Chinese AI model taught itself basic physics — what discoveries could it make?

A tool called AI-Newton can derive scientific laws from raw data, but is some way from developing human-like reasoning.

Data Center 4D: Dynamic Systems That Self-Model With Digital Load

Historically, data center design was linear: Size the facility to meet demand forecasts and hope for the best. Power and ...
IEEE

Identifying Ordinary Differential Equations for Data-efficient Model-based Reinforcement Learning

Abstract: The identification of a mathematical dynamics model is a crucial step in the designing process of a controller. However, it is often very difficult to identify the system’s governing ...
Frontiers

Advancements in tensor low-rank modeling for data-intensive applications

You will be redirected to our submission process. In the field of data science and engineering, tensors have become an ...
How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
C&EN

A Data-Driven Symbolic Regression Framework for Modeling and Multiobjective Optimization of a Microbial Fermentation System

Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi 110016, India ...
Reuters

Fed still poised to cut rates, but worries mount over US data vacuum

WASHINGTON, Oct 20 (Reuters) - The Federal Reserve will go into a policy meeting next week with its view of the economy obscured by a U.S. government shutdown that has suspended the release of key ...
IEEE

Input-Output Data-Driven Safe Control of Unknown Discrete-Time Linear Systems

Abstract: This paper presents a data-driven quadratically constrained quadratic program for designing safe and stable controllers using only input-output measurements. Input-output-based control ...