Researchers from UC Berkeley, Yale, Stanford’s Global Policy Laboratory, and NBER developed a deep learning method to predict ...

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in ...

New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

NVIDIA DLSS 5 showcase: Real-time photorealism for Resident Evil Requiem, Starfield, and more on the upcoming RTX 5090.

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...

Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...

In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term economic fluctuations, especially in countries with limited access to ...

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 ...

After compressing models from major AI labs including OpenAI, Meta, DeepSeek and Mistral AI, Multiverse Computing has ...

In games that support DLSS 5, the tools can immediately provide noticeable boosts to lighting and shadows, but unlike previous versions of upscaling that used machine learning to ...

Medical imaging is a process of visualizing the tissues, organs and structure of the human body to diagnose, monitor, and treat medical conditions. It plays ...