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.

A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...

A research team led by Dr. Jinung An of the Division of Intelligent Robotics at DGIST has developed a new AI foundation model ...

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 ...

To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more ...

Multi-agentic AI is redefining automation and scalability. Learn how Microsoft helps businesses innovate faster and smarter ...

Professor Kijung Shin's research team at the Kim Jaechul Graduate School of AI has developed an AI technology that predicts ...

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 ...

With more than a decade of experience, Nelson covers Apple and Google and writes about iPhone and Android features, privacy and security settings, and more. However, just because it's good at some ...