Bipartisan Ohio lawmakers are reviving an effort to regulate pricing algorithms, software that often uses artificial ...

Valar Labs, a leader in computational histology and precision oncology, today announced the publication of a major study in ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Tension: Marketers expect consistent ad performance, but audiences process the same message with decreasing intensity over ...

Leading manufacturers are responding not with generic devices, but with precisely engineered solutions tailored to distinct heating technologies. This strategic pivot from general-purpose to ...

In August 2022 the Department of Health and Human Services (HHS) issued a notice of proposed rulemaking prohibiting covered entities, which include health care providers and health plans, from ...

Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...

In a new study published today in the journal mBio, researchers at the University of Maryland School of Medicine (UMSOM) ...

From pro cyclists crunching race stats to PayID pokies players tracking wins, data analytics is redefining both sports and ...

The principle of centrifugal separation is ancient, but its modern industrial application is a feat of precision engineering. As global challenges such as water scarcity, stringent environmental ...