Within the RSI platform, every materials research project is carried by four tightly integrated modules—Project, Session, Experiment and Resource Center—and driven by three layers of deep iterative ...

JSTExecutive SummaryIn this survey, we covered materials, batteries, robotic tactile sensing, optical/acoustic control, and ...

StepFun officially releases model weights for "Step 5 Preview"Speakers: StepFun, Tiezhen Wang, Adina YakefuPosted: October 15 ...

A dual-graph deep learning network that hard-codes petroleum physics alongside learned statistics cuts oil production prediction error to about 20 percent, far outperforming conventional models.

AI may soon be the default way to solve theoretical problems in economics, high-energy physics, and other fields, MIT ...

International developments nevertheless demonstrate that the wider technological transition is substantive: Australia disclosed additional undersea payload integration on 19 October 2026; the United ...

The benchmark confirms that some AIs are becoming exceptional tools for research-level math. But open-source models still ...

Researchers at Friedrich Schiller University Jena and the University of Regensburg have developed a method for determining, ...

Robotics labs are collecting egocentric video and motion-capture data to train AI models, as the sector raises nearly $48 ...

An illustration of Commonwealth Fusion Systems' SPARC fusion reactor,CFS A new US Department of Energy-backed project aims to predict the behavior of plasma inside a fusion reactor in less than 20 ...

Origin 8 provides a data analysis and graphing workspace for scientists and engineers. New features include multi-sheet workbooks with sparklines, expanded import capabilities, SQL queries, automatic ...

A bicycle robot combines the strengths of wheeled and legged systems and demonstrates a range of acrobatic behaviors.