More information: Shreya Verma et al, Predicting Cognitive Outcome Through Nutrition and Health Markers Using Supervised Machine Learning, The Journal of Nutrition (2025). DOI: 10.1016/j.tjnut ...

Artificial Intelligence (AI) has a problem -- it’s artificial. To be fair, AI and its sister disciplines of machine learning, cognitive computing, sentiment analysis and neural networking have a ...

Commonly used machine-learning techniques include neural networks, support vector machines, decision trees, Bayesian belief networks, k-nearest neighbors, self-organizing maps, case-based ...

SANTA CLARA, Calif., Aug. 07, 2017 (GLOBE NEWSWIRE) -- At Flash Memory Summit (FMS) here this week, Lite-On Storage, an established leader in th ...

POTOMAC, Md., July 7, 2021 /PRNewswire/ -- Z Advanced Computing, Inc. (ZAC), the pioneer CognitiveExplainable-AI (Artificial Intelligence) (Cognitive XAI) software startup, has made AI and Machine ...

Zhao, X., et al. (2025) Using machine learning models to identify severe subjective cognitive decline and related factors in nurses during the menopause transition: a pilot study.

You’ve probably seen two companies associated with machine learning: Google and IBM. The latter has devoted an entire division (Watson) and at least $1 billion to this area.