Read more about Deep learning and AI unlock new era of solar energy forecasting and performance on Devdiscourse ...

Analytical AI ranks risk, flags anomalies and analyzes test failures for automation stability and defect triage, while GenAI ...

Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...

A convergence of DFT techniques and the proliferation of in-silicon monitors can flag potential failures before they occur.

Cloud-based virtualization, real-time data synchronization, and scalable AI/ML deployment can modernize the testing landscape ...

Burnout and chronic fatigue carry a substantial economic cost and pose serious risks in professions where alertness is ...

Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...

Bacterial immune systems protect against viral invaders called phages by precisely targeting specific phage genetic sequences ...

On one side, operations and quality leaders are under pressure to deploy machine learning that can meaningfully reduce ...

Today, AI is working in the opposite direction. Researchers at the University of Dhaka in Bangladesh have trained machines to identify and trace microplastics with extraordinary precision. Using ...

Anthropic on Tuesday said its yet-to-be-released artificial intelligence model called Claude Mythos has proven keenly adept ...

Ligand Pro, founded by Skoltech professors and a Skoltech Ph.D. student, has presented Matcha, an AI-powered molecular docking model that performs virtual drug screening 30 times faster than the large ...