Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...

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

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.

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

Shahar Azulay, CEO and cofounder of groundcover is a serial R&D leader. Shahar brings experience in the world of cybersecurity and machine learning having worked as a leader in companies such as Apple ...

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 ...

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 ...

TEGUAR and SORBA.ai Announce Strategic Hardware Partnership to Accelerate On-Prem Industrial AI Deployment in Critical Environments JACKSONVILLE, FL, UNITED STATES, January 5, 2026 /EINPresswire.com/ ...

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence ...

Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new problem for AI to tackle in 2026. Opinion I have followed computer vision and ...

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...