The role of technology in optimizing ERP order processing has become increasingly important as businesses strive to improve ...

A new academic study argues that the structural reliance of artificial intelligence (AI) systems on classification models creates significant challenges when AI systems attempt to represent fluid and ...

Cambridge researchers map the convergence of biomarkers, digital phenotyping, and AI toward biologically grounded ...

World Monitor is gaining traction among journalists, analysts and researchers seeking to make sense of fast-moving ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Smart city initiatives are generating vast amounts of data from sensors, cameras, mobile devices, and digital service ...

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

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

The peer-reviewed invited review in Brain Medicine titled "New approaches to enhance the diagnosis of psychiatric disorders," is freely available via Open Access, starting on 10 March 2026 in Brain ...

The integration of artificial intelligence (AI) into health care delivery has the potential to transform the industry, both efficiently and expediently. But it also raises ethical, regulatory, and ...

The first enforcement deadline of the EU's AI Act takes effect today, banning AI systems deemed 'unacceptable risk' — but a ...