A new method developed at the University of Warwick offers the first simple and predictive way to calculate how irregularly ...

Confluent is positioning itself as the "context layer for enterprise AI" with new capabilities that aim to solve the problem ...

For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...

The open-source AI model improves transparency in predicting how proteins interact with other molecules, which could speed up drug discovery.

Compared with other hurricane models used by the NHC, the DeepMind model is “definitely toward the front of the pack if not ...

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Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

"These results represent more than just outperforming frontier models; they mark the emergence of a new approach to building ...

models to analyze vast amounts of supply chain data, including supplier performance, order histories, transit times and ...

As David Patterson observed in 1980, “A RISC potentially gains in speed merely from a simpler design.” Patterson’s principle of simplicity underpins a new alternative to speculation: A deterministic, ...