This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models that are deeply aligned with their specific data domains ...

It’s a regrettable reality that there is never enough time to cover all the interesting scientific stories we come across ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

UNR Med’s IDEA Project uses AI and hands-on data analysis to teach first-year medical students how to think like clinical researchers.

This project will develop universally lithium-selective polymer-based membranes through bottom-up molecular design to process-scale modelling, enabling efficient lithium recovery across diverse feed ...

Large protein machines in the body carry out many of the cell's most essential tasks, from energy production to the ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

A method for making quantum computers less error-prone could let them run complex programs such as simulations of materials more efficiently, thus making them more useful ...

Discover OpenFang, the Rust-based Agent Operating System that redefines autonomous AI. Learn how its sandboxed architecture, pre-built "Hands," and security-first design outperform traditional Python ...

This project aims to develop a computational framework combining computer vision, computer graphics, and machine learning to accelerate and improve the design and simulation of camera lenses.