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 ...

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

This study highlights non-linear center-of-pressure features that enhance clinical assessment of fall risk in older adults, ...

A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...

Chinese AI company MiniMax has released the weights for MiniMax M2.7, a 229-billion-parameter Mixture-of-Experts model that participated in its own development cycle – marking what the company calls ...

Students and professionals looking to upskill are in luck this month of April, as Harvard University is offering 144 free ...

Scientists have developed a new method to measure ocean surface currents over large areas in greater detail than ever before. Called GOFLOW (Geostationary Ocean Flow), the approach applies deep ...

Consulting’s talent model is breaking. As AI replaces leverage and clients demand outcomes over effort, the familiar pyramid ...

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

State-of-the-industry report finds that, despite the limitations of artificial-intelligence systems, researchers have embraced them.

The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...