Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components ...

If you rely on AI to recommend what to watch, read, or buy, new research indicates that some systems may be basing these ...

An in-depth look at the hype and reality around “agentic AI” — the use of AI agents that perform tasks autonomously.

The emergence of machine learning and high-content microscopy suggests potential to more comprehensively define CF activation beyond simply staining α-SMA. Here, we coupled Cell Painting 4 with a ...

Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, ...

Eric D. Boyd of responsiveX previews his VSLive! 2025 session at Microsoft HQ in August where he explains how Azure ML ...

More information: Jason Wu et al, Prediction of Adeno-Associated Virus Fitness with a Protein Language-Based Machine Learning Model, Human Gene Therapy (2025). DOI: 10.1089/hum.2024.227 Journal ...

have developed a machine learning model that permits the prediction of bespoke Cas9 proteins that are more uniquely suited to specific targets and can be tailored with designer properties for ...

After joining the Freeman Lab, Alshammari began studying clustering, a machine-learning technique that classifies images by learning to organize similar images into nearby clusters. She realized ...