For rare diseases, AI-driven repurposing fills a critical gap. With more than 7000 rare diseases and only a small percentage ...

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...

Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...

Machine learning algorithms find patterns in human movement data collected by continuous monitoring, yielding insights that ...

A research team has developed a deep learning–based phenotyping pipeline called SpikePheno to decode the complex architecture ...

Overview Demand for diverse, high‑quality datasets is increasing rapidly as AI models scale.Leading firms now combine ...

On one hand, we need raw materials such as copper for the transition to climate-friendly technologies, but on the other hand, ...

Over the last decade, technology-assisted review (TAR) has become a preferred choice in the e-discovery toolkit. Now, as ...

Rohit Chaudhary has spent his career confronting that problem from the inside. After more than a decade leading investment ...

In part two of this three-part series, AI scientists immerse themselves in the world of primatology to accelerate behavioral ...

For years, the AI field focused on one goal: making systems remember better. We trained models on massive datasets and ...