A team led by Professor Daniel Abrams and PhD graduate Emma Zajdela (PhD ’23) created—and mined—the most comprehensive ...

New platform enables organizations to train AI models on proprietary data, but analysts say adoption may be limited in the near term.

Researchers have pushed quantum chip design into a new era by simulating every physical detail before fabrication. Using a supercomputer with nearly 7,000 GPUs, they modeled how signals travel and ...

A new AI-powered tool delivers injection molding simulation results up to 1000 times faster than traditional methods, enabling engineers to explore vastly more design options during early development.

MATLAB courses explain programming, simulations, and data analysis used in engineering and research work.Online platforms and ...

As vehicle architectures evolve toward centralized and software-defined systems, automotive developers require flexible toolchains that support heterogeneous hardware platforms, modern programming ...

Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...

Abstract: Miniaturized vision-based tactile sensors (VBTSs) are essential for compact and high-resolution surface perception in constrained environments. However, conventional lens-based imaging ...

Abstract: This study evaluates the effectiveness of using super resolution (SR) techniques as a preprocessing step to improve age and gender recognition from severely low resolution (LR) facial images ...

AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an open-source software and online leaderboard developed at the University of ...

Miscarriage is a common and serious adverse pregnancy outcome. Assessing drug-associated miscarriage risk is essential for medication safety in pregnancy. Using the FDA Adverse Event Reporting System ...