Projects involving the two Atlanta institutions have used technology to advance conservation efforts at Georgia Aquarium and ...

A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial ...

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.

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

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...

Abstract: The weather conditions and air pollution data can be closely related as they both represent atmosphere as an object from physical world. The usage of combined datasets is expected to improve ...

John Quackenbush built a lab that is at the forefront of human genetics research and bioinformatics. Trump administration ...

Bayer is deploying GenAI tools at scale while many corporates struggle to find ROI on AI. The difference may lie in a 12-year ...

Small language models are like specialised tools in a toolbox, compared to something like ChatGPT that brings the whole workshop.

The UCLA Biomedical Artificial Intelligence Research Lab is using machine learning to improve the lives of patients. Machine learning is a field of AI that learns from existing data to make ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Now, researchers at the University of Chicago Pritzker School of Molecular Engineering (UChicago PME) have built a ...