Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Fraud remains one of the biggest challenges for betting platforms. This article explains how machine learning helps spot ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...

In 1854, London was struck by a devastating cholera outbreak. Public authorities responded using the best tools and scientific understanding available at the time.Disease was widely believed to spread ...

Researchers at Koç University have developed an open-access, machine learning–assisted tool that automates microfluidic chip design, lowering the ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...