Multiple research fronts saw major advances on April 24, 2026, with AI models driving new capabilities in protein interaction prediction, automated protein design, and earthquake engineering ...

Designing molecules is one of chemistry's most complex challenges. From life-saving drugs to advanced materials, each ...

Equipment failures emerge from complex system interactions in real-world conditions that simulation cannot fully predict or ...

MIT researchers have developed DiffSyn, a generative AI model that predicts multiple viable synthesis routes for complex materials like zeolites. Trained on decades of scientific recipes, it offers ...

Artificial Intelligence - Catch up on select AI news and developments since Friday, April 17. Stay in the know.

Consumers' preferences for foods and food ingredients are shifting, with a greater emphasis on increasing the amount of plant-based options in the diet.

How did the earliest life on Earth build complex biological machinery with so few tools? A new study explores how the ...

A physics-constrained AI model called VLSet-AE automates feature extraction from DRIE cross-sections with 96 percent accuracy ...

MIT postdoctoral associate Arunav Kumar discusses his work on magnetohydrodynamic stability, plasma control in tokamaks, and ...

The AI transformation in compensation analysis is difficult to ignore, but, as it reshapes the industry, ERI has stayed ...

Understanding early-stage creep in tunnel concrete through multiscale analysis improves long-term predictions and enhances ...

NetraMark Holdings Inc. (the “Company” or “NetraMark”) (TSX: AIAI) (OTCQB: AINMF) (Frankfurt: PF0) , a premier artificial intelligence (AI) company transforming clinical trials with AI-powered ...