The CytoDiffusion classifier analyses the shape and structure of blood cells to detect abnormalities that may indicate blood ...

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.

Self-organizing maps, and the machine learning protocol involved in creating them, have been in use since the 1980s, Lawrence ...

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

SLMs are not replacements for large models, but they can be the foundation for a more intelligent architecture.

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

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

Same card, same grade, different grading label? It's become enough to alter the overall value on the secondary market.

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 ...

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 ...