Generative AI models are usually built on deep learning, where multi-layered neural networks scan through endless pieces of ...

This issue aims to showcase how machine learning (ML) and Artificial Intelligence (AI) approaches can be used with real world data (RWD) sources to generate ...

Continuous analytics and automated monitoring are enabling insurers to respond faster to emerging performance shifts ...

To help solve this problem, Generalist has relied on “data hands,” a set of wearable pincers that capture micro-movements and ...

Real-world data is increasingly used to optimize trial design, reduce recruitment burden, and support regulatory decisions, but adoption remains uneven due to challenges around data quality, ...

The robots are ready to work. Rapid advancements (thanks, AI!) are creating opportunities in industries as varied as ...

At Oak Ridge National Laboratory’s Center for Nanophase Materials Sciences, Yongtao Liu is building AI-driven “closed-loop” ...

As companies restructure around AI, the real divide may not be timing - but how leaders manage fear, learning, and change.

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...

Six years ago, Google was confident that by 2030 it would power all operations with electricity generated from clean sources, ...

Discover how Microsoft guides responsible AI agent adoption to scale productivity, empower people, and transform work with digital teammates. Learn more.

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...