New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Nvidia used GTC 2026 to unveil new physical AI models, simulation tools, and robotics partnerships aimed at factories, healthcare, and logistics.

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data ...

Enterprise AI doesn’t prove its value through pilots, it proves it through disciplined financial modeling. Here’s how ESG quantified productivity gains, faster deployment, operational efficiency, and ...

Anyscale, founded by the creators of Ray, today announced upcoming new capabilities in Ray and the Anyscale platform designed to help teams build and deploy AI workloads at production scale. As more ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Abstract: Efficient prediction of tropospheric ozone $\left({O}_{3}\right)$ is crucial to monitor its harmful effects on the ecosystem and thereby take necessary actions. Owing to the complex ...

An AI agent called Zephyrus converts plain-language questions into code to analyze real weather datasets and forecast models ...

Z80-μLM is a 'conversational AI' that generates short character-by-character sequences, with quantization-aware training (QAT) to run on a Z80 processor with 64kb of ram. The root behind this project ...

This repository is an example accompanying the DES RAP Book — an open educational resource on reproducible discrete-event simulation (DES) in Python and R. The book demonstrates best practices for ...