Unlike traditional systems that produce a single output, ML-driven tax planning generates a set of ranked strategies.

Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

Wind turbines supply a particularly large amount of electricity in winter—precisely when demand is high. Nevertheless, ...

Structured data capture in Revvity Signals One turns lab data into searchable, auditable records for real-time analytics and ...

Sathiyan Kutty discusses healthcare AI adoption, responsible AI governance, enterprise transformation, interoperability, and ...

New analysis has turned NASA’s TESS mission from a targeted planet spotter into a broad census machine, with AI uncovering undiscovered worlds hiding in plain sight within the mission's data.

Read more about Healthcare AI faces growing pressure over transparency, bias and clinical accountability on Devdiscourse ...

The core of NIH’s AI push is to break down data silos that limit how quickly researchers can respond to emerging public ...

AI-powered scams are accelerating – and crypto users are increasingly in the crosshairs. Between May 2024 and April 2025, ...

Based at M-SParc in Ecodetect has developed an advanced ecology detection toolkit that combines artificial intelligence and ...

Chipmakers are starting to use AI to manage data that is mined from different “dashboards,” many of which are already ...

Indian American academic’s career blends traditional research and teaching with needs of urban and metropolitan areas.