A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing high-volume liposuction, reports a study in the January issue of Plastic and ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

This project implements a machine learning-based deformer for Autodesk Maya that automatically predicts corrective blendshapes based on skeletal joint poses. The system learns from artist-provided or ...

A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design of bioimaging, sensing and drug delivery materials.

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

Abstract: Federated Learning (FL) allows collaborative training of a Machine Learning (ML) model while preserving data privacy across participating clients. Most existing studies consider FL clients ...