Researchers trained XGBoost machine learning models on automated finite element simulations to predict how special threaded ...
In 2021, Texas suffered the worst energy infrastructure failure in state history, following three severe winter storms in ...
Cities and researchers are using AI to map and predict extreme heat risk, but new research suggests it's used far more to ...
A new training-free algorithm called LORIS cleans Cauchy noise from images using adaptive median centering and Cauchy-IRLS ...
A new machine-learning approach has broken records for weather forecasting for the key time frame in emergency planning.
An amateur astronomer uses AI agents to identify a potential super-Earth in NASA TESS data, prompting renewed scrutiny of a ...
Rice has launched a transformational universitywide AI initiative to recruit 75 faculty members working across disciplines, ...
A review of research on AI and machine learning for managing extreme heat found a wide gap between forecasting risks and ...
At Quantum World Congress last month, David Rivas, COO of Rigetti, sat on a panel with representatives from hardware, ...
Auckland University research advances ultra-precision laser technology, potentially miniaturizing optical frequency combs ...
Source.ag, the Amsterdam-based AI company for greenhouse growers, has acquired Optimal, the London startup that built one of ...
Optimal’s AI delivered 13% more yield with 27% less energy in a commercial Dutch greenhouse, and now joins Source.ag, the ...