From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A Cornell research team has introduced a new method that helps machines make ...

Overview AI enhances farm productivity by detecting crop diseases early and optimizing resource usage efficiently.Livestock ...

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 ...

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

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

The AI pioneer on stepping down from Meta, the limits of large language models — and the launch of his new start-up ...

Overview: Artificial intelligence is rapidly transforming India’s job landscape, making AI skills increasingly valuable across industries like finance, healthca ...

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.

Based on the study's findings, the authors proposed an integrated curriculum framework for AI departments that combines comprehensive computer science education with specialised AI coursework.

As we look toward 2026, AI is no longer an experimental concept in the professional art scene but is firmly embedded in many ...