Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Instead of building yet another LLM, LeCun is focused on something he sees as more broadly applicable. He wants AI to learn ...

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.

FREE TO READ] The AI pioneer on stepping down from Meta, the limits of large language models — and the launch of his new ...

The five-year, $584,034 project — “CAREER: Opening the Black Box: Advancing Interpretable Machine Learning for Computer Vision” — aims to bring greater transparency and accountability to AI-powered ...

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using cross-functional pods that helped a client save $300M by accurately predicting demand.

The Asian Development Bank and its partners show that poor data on road quality and rural access weakens development outcomes, even though good roads are critical for growth, inclusion, and poverty ...

Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new ...

What began as a stack of fragile, century-old mine maps is being transformed into an immersive 3D window into the past by ...

New Analysis Platform Explores Why Household Tasks and Physical Automation Require Embodied Intelligence Beyond Traditional Computer Approaches The next wave of AI is physical AI. AI that understands ...