The Multimodal Education Center (MEC) is a university-wide program that enables students and faculty to engage in science, technology, engineering, and mathematics (STEM). “[The MEC] is a hub of ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

CesiumAstro Inc., a global provider of space and defense communications systems and satellites, today announced the ...

In the era of big data, the growing diversity, dimensionality, and volume of data have accelerated the development of artificial intelligence (AI). In turn, ...

Few innovators bridge computational astrophysics, enterprise-scale artificial intelligence, and quantum computing while ...

Studying gene expression in a cancer patient's cells can help clinical biologists understand the cancer's origin and predict the success of different treatments. But cells are complex and contain many ...

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

Researchers have proposed a multimodal sensor fusion approach to AI-based fault detection in 3D printing, aiming to push AM monitoring closer to reliable, Industry 4.0 operation.

The partnership integrates high-resolution multi-omics data generation with predictive multimodal machine learning to support biopharma decision-making in neurology.

ECE Prof. B.S. Manjunath, is honored as the first Frank Koenig Distinguished Chair — one four endowed chairs in the department From the Robert Mehrabian College of Engineering News (RMCOE) article ...

Another newly emerging employment area is AI automation engineer, someone who works with a team to flag opportunities to ...

IRVING, Texas, Feb. 23, 2026 /PRNewswire/ -- Caris Life Sciences ® (NASDAQ: CAI), a leading, patient-centric, next-generation AI TechBio company and precision medicine pioneer, today announced that ...