Gilead Sciences uses graph neural networks and graph databases to reveal hidden fraud networks and ensure patient's safety.

As students return to school, AI is rapidly integrating into education. Here's how they can use it to help their learning.

Artificial intelligence has analyzed data scattered across hundreds of research papers to discover new lead-free dielectric ...

Ziya Uddin's PI-OHAM combines traditional methods with physics-informed optimization, accelerating boundary-layer problem ...

AI fraud detection at Navan advanced on August 10, 2026: the business travel platform deployed DataVisor's unsupervised machine learning across travel bookings, corporate cards, and expenses. Unlike ...

The conversation has fundamentally shifted from “Should we use AI?” to “Can we operationalise AI faster and more safely than competitors?” Here are the areas where some of the most meaningful ...

EDGE, the cashflow bureau helping lenders turn bank transaction data into explainable, machine learning-developed scores and ...

A new review maps the fast-moving landscape of artificial intelligence (AI)-driven drug-target interaction (DTI) prediction, showing how the field has progressed from hand-crafted molecular features ...

Optimus previewed a freight digital twin that models 350,000 highway nodes to show where disruptions push capacity pressure next. Design partners first.

Injecting time-resolved quantum signals into attention mechanisms offers gains over conventional graph learning methods.

IIT Bombay’s Educational Outreach has introduced an e-Postgraduate Diploma in Computer Science and Artificial Intelligence ...

"Machine Learning Techniques for Electricity Theft Detection in Smart Grids: A Comprehensive Review," published in Energies ...