New integration enables engineers to solve complex fluid dynamics problems 10-20x faster, transforming simulation into a scalable source of synthetic data for Engineering AI and Digital Twins.

The transformer-based model is being developed to help organizations—most notably in the finance industry—dig deeper into their data.

A new report by MIT Technology Review Insights finds that product engineering leaders are scaling artificial intelligence cautiously, prioritizing verification, measurable outcomes, and ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

The School of Business is fostering a broader entrepreneurial and innovation ecosystem across the university and the region.

Banks are now using artificial intelligence to predict payment system problems. This technology analyzes vast amounts of data to spot issues early. Instead of fixing problems after they happen, banks ...

A dimensional engineering specialist and patent holder, he built a measurement and prediction system that supported the iPhone 16 launch at a reported near-perfect manufacturing yield, and now leads s ...

Today at the NVIDIA GTC AI Conference, Lyft (Nasdaq: LYFT) announced it will use NVIDIA AI to enhance the company’s machine learning systems across its global operations. The work spans across ...

The proposed approach reduces computational cost while maintaining high predictive accuracy, making it suitable for large-scale applications JEONBUK-DO, South Korea, March 16, 2026 /PRNewswire/ -- ...

EXPERT PANEL: Cogility's Chief Behavior Scientist, Frank L. Greitzer, PhD, will participate in an energy panel discussion focusing on securing the energy & utilities sector from sophisticated insider ...

How a biocarbon OEM optimized its rotary calciner drum drive with Regal Rexnord’s end‑to‑end power transmission expertise.

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.