Physics-informed neural networks (PINNs) have shown remarkable prospects in solving forward and inverse problems involving ...
Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...
The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...
Google has announced new Tensor processors for its data centers, claiming they help reduce energy usage significantly.
Depending on who you listen to, AI will cause widespread disruption and unemployment, especially at starting and lower middle ...
This article discusses legal issues surrounding the harms caused by artificial intelligence, and where liability may lie if a neural network is not functioning correctly in the real world.Artificial ...
AI engineer Kyle Hessling merged two of Jackrong's Claude Opus 4.6 and GLM-5.1 distilled finetunes into a single ...
Google LLC introduced two new custom silicon chips for artificial intelligence today at Google Cloud Next 2026, unveiling two ...
Virgo Network, Google’s new networking system for AI infrastructure, is designed to speed communications both inside ...
Intel TSNC brings neural texture compression with up to 18x reduction, faster decoding, and flexible SDK support for modern GPU workflows.
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