Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy's SLAC National Accelerator Laboratory ...

The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift ...

A multi-institutional research team has demonstrated how AI and machine learning can optimize therapy selection and dosing ...

This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

At TechSparks 2025, Puspen Maity, CEO of TechnoSport, shared how the brand is reimagining performance wear by blending ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN integration. It improves dynamic lesion detection, temporal ...

Discover how Senvix AI empowers global traders with smart automation, real-time analytics, and secure broker integration for ...

An AI agent is a sequence of AI models, rules, and/or analytic algorithms that execute a workflow with little or no human intervention. These AI agents can automate processes, analyse data, and make ...

When NASA set out to slam a spacecraft into a comet, the goal was not spectacle but data: a controlled impact that could peel back the outer layers of a primordial body and reveal what the early solar ...

A machine-learning breakthrough could lift the veil on Earth’s early history—and supercharge the search for alien life ...

A.I. has added urgency to the U.S. national laboratories that have been sites of cutting-edge scientific research, leading to ...

Most AI initiatives fail not because the models are weak, but because organizations aren’t built to sustain them. A large Latin American conglomerate developed a simple management system that aligns ...