One of the primary challenges in wind energy development is optimizing the spatial layout of wind turbines within a given ...

IoT-based sensors, when deployed within biofloc tanks, can continuously track critical parameters such as dissolved oxygen ...

Take the Midea Group for instance. Once known as a major home appliance manufacturer, Midea is redefining its tech frontier ...

Engineering students at one of the largest private universities in #Ohio have taken their senior design project beyond the ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Doctors have long called hypertrophic cardiomyopathy (HCM) “the great masquerader. ” It hides in plain sight, often mistaken ...

Re-weighting, adversarial debiasing, and fairness constraints can be incorporated into AI models to identify and eliminate ...

Researchers from The University of Western Australia, working with medtech industry partners Artrya, have developed a new, ...

Dubbed Adaptive Branching Monte Carlo Tree Search (AB-MCTS), it is a new inference-time scaling algorithm by Sakana AI.

Rochester, Minn.-based Mayo Clinic has nearly 100 AI algorithms in use that leaders are building “into the fabric” of the health system, the Rochester (Minn.) Post Bulletin reported. Here are six ...

Coke's CIO looks for the ability to deliver big efficiency gains or revenue when weighing whether an AI project will get the ...

Suffice to say that health care’s transition to AI will be incremental. Emerging technologies need time to mature, and the short-term needs of health care still outweigh long-term gains. In the ...