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

For 40,000 years, these bone-carved figurines lay silent, until now, exposing a lost story of our prehistoric ancestors.

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

More than 40,000 years ago, Ice Age humans were carving repeated patterns of dots, lines, and crosses into tools and small ivory figurines. A new computational study of more than 3,000 of these ...

Over 40,000 years ago, our early ancestors were already carving signs into tools and sculptures. According to a new analysis ...

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

A team of researchers has determined that the sequences of engraved marks on Stone Age objects, dating back as much as 40,000 ...

The paper introduces a Special Issue showcasing how AI-enabled solutions are transforming industrial systems, smart ...

What Role Do Non-Human Identities Play in Enhancing Cybersecurity? How can organizations effectively manage and secure the growing number of non-human identities (NHIs) their systems rely on? NHIs, ...

Over 40,000 years ago, our early ancestors were already carving signs into tools and sculptures. According to a new analysis by linguist Christian Bentz at Saarland University and archaeologist Ewa ...

The typical failure pattern is predictable. A treasury team deploys an AI forecasting tool, but forecasts are inaccurate and the vendor gets blamed. But if the organisation has five definitions of ...

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