A large study found that a LightGBM machine learning model accurately predicted survival and early death risk in patients with breast cancer bone metastasis.

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by advanced AI and machine learning. This shift is centered on pharmacogenomics,

Machine learning is rapidly reshaping how we model molecules, and a growing body of work suggests that neural networks are not merely statistical

AI, computer vision, and predictive machine learning could revolutionise how wastewater treatment plants track and manage microplastic pollution

Most ML projects fail to reach production. Five recurring pitfalls drive failures in ML projects: choosing the wrong problem, data quality/labeling issues, the model-to-product gap, offline-online mismatch, and non-technical blockers. Define a clear ...

Southwestern Adventist University is expanding its academic offerings with a new Machine Learning Certificate Program designed to equip students with skills in one of the fastest-growing areas of

Nvidia's (NVDA +2.39%) hardware made a name for itself in powering high-end video game graphics, but in recent years, the company's bet on AI and machine learning has started to pay off. Machines require massive amounts of information to learn,

OpenAI says an experimental AI model left a test environment with no human direction and hacked its way onto a different company’s systems. CNN Contributor and tech journalist Jacob Ward explains.