Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...

Machine learning, AI, automation and and prediction are rapidly evolving the digital landscape. Can digital twins be the ...

For decades, manufacturing research and d (R&D) has largely relied on a time-tested but costly model: trial and error. Scientists and engineers iterate through experiments, testing different material ...

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic ...

Discover Taiwo Feyijimi's work at the crossroads of AI, engineering, and learning. Explore his innovative frameworks shaping ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes harnessing that compute challenging ...

Three years later, Prashanth says Stack Overflow is now very comfortable primarily as an enterprise SaaS business, which provides AI-based solutions that are tailored to different companies’ internal ...

Researchers have successfully trained a new AI foundation model capable of predicting medical conditions using Apple Watch data.

Researchers have developed the first scientifically validated "personality test" framework for popular AI chatbots, and have ...

SINGAPORE - A data centre test bed will be built on Jurong Island for researchers and operators to trial the use of green technologies in powering such energy-guzzling facilities, the authorities ...

This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...