For Gabriel Petersson, the path to becoming a research scientist at OpenAI didn’t start in a lecture hall but began with a problem to solve and an AI chatbot at his fingertips. After leaving high ...

Lewis Wallis and Dr Samuel Dicken review 2025 developments in ultra-processed foods (UPF) and high fat, sugar and salt (HFSS) ...

Adaptive test is starting to gain traction for high-performance computing and AI chips as test programs that rely on static limits and fixed test sequences reach their practical limits.

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

A new article published in the Journal of Dental Research explores the development an integrated data-cleaning and subtype ...

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...

A practical guide to building AI prompt guardrails, with DLP, data labeling, online tokenization, and governance for secure ...

Developed the world's first multimodal brain signal-based model capable of learning without simultaneous EEG and fNIRS measurements. - Self-learning from data of hundreds of individuals... Introducing ...

Autonomous driving systems increasingly rely on data-driven approaches, yet many still struggle with reasoning, handling rare scenarios, and transparently explaining their actions. A new study ...

This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...