The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

Machine learning algorithms find patterns in human movement data collected by continuous monitoring, yielding insights that ...

Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.

Forbes contributors publish independent expert analyses and insights. Kathleen Walch covers AI, ML, and big data best practices. One of the most widely adopted of the seven patterns of AI is the ...

Using machine learning, researchers at the UC Davis MIND Institute have identified several patterns of maternal autoantibodies highly associated with the diagnosis and severity of autism. Their study, ...

Educational Technology & Society, Vol. 15, No. 3, Learning and Knowledge Analytics (July 2012), pp. 323-335 (13 pages) ABSTRACT Conferences play an important role in scientific community building, and ...

An artificial intelligence platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process. The ...

Researchers found that the neurons involved in Pavlovian learning shift their behavior during the learning process and become more synchronized when a memory is formed. The phrase "Pavlov's dogs" has ...

Over the past two decades, the biggest evolution of Artificial Intelligence has been the maturation of deep learning as an approach for machine learning, the expansion of big data and the knowledge of ...