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 December, The Conversation hosted a webinar on AI’s revolutionary role in drug discovery and development. Skolnick has developed AI-based approaches to predict protein structure and function that ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

Index modulation (IM) has emerged as a promising technique for improving spectral efficiency and hardware efficiency in next-generation communication ...

For as little as $4.99, teenagers are uploading photos of their classmates’ faces to “nudify” sites to generate so-called ...

The default mode network (DMN) is a distributed set of interconnected brain regions that has long been associated with internally oriented cognition such as remembering the past, thinking about the ...

Researcher Andrew Dai believes that the artificial intelligence models at big labs have the intelligence of a 3-year-old kid, ...

Machine-learning-informed simulations of physical phenomena ranging from drifting bands (left), resonant ripples (center) and ...