In 2026, AI research is moving from simply scaling models toward probing their fundamental limits, with benchmarks like MLRegTest revealing gaps in logical generalization and causal reasoning.

AI-driven diagnostics, workflow automation, and standardized repair procedures are converging to improve motor repair accuracy, reduce downtime, and cut operational costs. New tools range from ...

Using a deep learning model to analyze the composition of large muscles on MRI, German researchers found that the proportions ...

Stop throwing money at GPUs for unoptimized models; using smart shortcuts like fine-tuning and quantization can slash your ...

Hina Gandhi, software engineering technical leader, Cisco, offered tips and techniques to pave the way for autonomous, efficient data pipelines that continuously adapt to changing workloads and ...

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

Ready to watch 'Deep Water' on your favorite screen? We’ve rounded up platforms and services with rental, purchase, and subscription options, all in one place. In the US, you can currently rent, buy, ...

The artificial intelligence (AI) machines that guide the world can be grouped into three main categories: inference machines, ...

Dementia affects over 57 million people worldwide, a number expected to nearly double in the next 20 years. This permanent ...

Learning health systems turn data into action — rapidly, safely, and continuously — so that innovation truly improves care.