A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...

Explore four methods for leveraging automation to simplify operations, optimize your energy strategy, and maximize your energy flexibility.

Tech Mahindra partners with Microsoft to launch an AI-driven digital twin solution aimed at revolutionizing telecom network ...

Artificial intelligence has become one of the most sought-after skills in the modern workforce. Organisations across industries are investing heavily in AI, machine learning, automation, and ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Mayo Clinic's AI Research Summit drew 750+ experts June 4-5 to explore decision-support AI, multi-agent systems and virtual ...

XPENG (NYSE: XPEV, HKEX: 9868), a leading China-based high-tech company, shared insights at the CVPR 2026 Workshop on Foundation Model Deployment for Embodied Intelligence. Xianming Liu, Head of XPENG ...

VivoSim Labs, Inc. (Nasdaq: VIVS) (the “Company” or “VivoSim”), a provider of next-generation New Approach Methodologies (NAMs) for preclinical safety, today announced that data demonstrating the ...