Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...

Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this ...

Learn how DenseNet works and why it’s a powerful architecture in deep learning. This tutorial breaks down DenseNet’s key concepts, including dense connections, feature reuse, and parameter ...

Predicting local weather extremes remains one of the greatest hurdles in meteorology, which requires high-resolution, reliable humidity data.

Find out how today's engineers succeed by growing their technical abilities, improving how they communicate, and staying open to change.

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

Google DeepMind is rolling out Gemini 2.5 Deep Think, which, the company says, is its most advanced AI reasoning model, able to answer questions by exploring and considering multiple ideas ...

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