Researchers have proposed a SENet-CNN-Transformer model for predicting electric vehicle charging duration, aiming to improve ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

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 ...

In the era of artificial intelligence (AI), parents hope students will use AI to look up unfamiliar words or concepts. In ...

For the last few years, public attention around artificial intelligence has been fixed on text. Chatbots that answer ...

To this day, in the known universe, only one example exists of a system capable of general-purpose intelligence. That system ...

Running a single physics simulation can take hours or days, depending on the complexity of the geometry and the equations ...

A new group of trainers is now ready to strengthen chemical emergency preparedness and response in their home countries, ...

Oregon Ducks quarterback Dante Moore spoke about the state of of the quarterback room and coaching changes ahead of the spring game.

For weeks, they’d been having furtive discussions about whether Sam Altman, OpenAI’s C.E.O., and Greg Brockman, his second-in ...

A wave of AI foundation models built on plant DNA sequences is giving researchers new tools to annotate genomes, predict gene function, and measure crop traits faster than traditional methods allow.