Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

The Global Function as a Service Market offers key opportunities such as enhanced developer productivity and cost efficiency through pay-as-you-go models. This growth is driven by AI/ML workloads and ...

Opportunities in the Cloud Management Platform Market include optimizing cloud costs and ensuring centralized governance for regulatory compliance. The rise of AI-driven operations and sustainability ...

New forecasts reveal how much water is hiding in mountain snow, turning snowpack into a clearer signal for Western water ...

Microsoft has projected its data center water use will more than double by 2030 despite conservation pledges, as AI ...

Access to safe drinking water is paramount for community health, environmental sustainability, and socio-economic development. Water quality decline due to rapid urbanization and industrial activities ...

Scholars analyze how the use of machine learning could reshape EPA drinking water standards. The regulatory landscape is also evolving rapidly. OMB issued the first government-wide AI policy in March ...

WATERBURY, CT (WFSB) - Water service has been restored to homes throughout Waterbury, and the water is now deemed safe for drinking and showering. “The citywide Boil Water Advisory has been lifted, ...

A new study estimates the environmental impact of AI in 2025 and calls for more transparency from companies on their pollution and water consumption. A new study estimates the environmental impact of ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...

Yes, every question you ask AI uses up water—and many are worried. A recent University of Chicago survey revealed that 4 in 10 U.S. adults are “extremely” worried about artificial intelligence’s ...

Machine learning is increasingly applied in environmental chemistry for contaminant screening and property prediction, yet consistent benchmarks are lacking. We compared eight graph neural networks ...