The 2025 Bioprocessing Summit revealed knowledge gaps and changing mindsets. As some companies look towards the future, ...

AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the data they're fed.

Explore how AI and machine learning are being used in crime prediction to allocate resources, prevent offenses, and the ...

Researchers from the University of South Australia are using artificial intelligence (AI) to detect contaminated food in fields and factories before reaching consumers, and potentially saving lives.

Ophthalmology Times connects eye care professionals with surgery, imaging, gene therapy, & diagnostic advances to enhance clinical and patient care.

The automatic induction of machine learning models capable of addressing supervised learning, feature selection, clustering, and reinforcement learning problems requires sophisticated intelligent ...

Understanding key machine learning algorithms is crucial for solving real-world data problems effectively. Data scientists should master both supervised and unsupervised learning algorithms for ...

Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new developments for machine learning algorithms.