In February 2024, Mount Sinai's dedicated team of researchers were granted $4.1 million by the National Heart, Lung, and ...

AI fault detection uses waveform analytics and machine learning to identify early electrical failure signatures in distribution systems. Utilities gain predictive insight into incipient faults, asset ...

Your businesses could be leveraging predictive analytics and machine learning to help provide a more personalized user experience. By gathering data on how users interact with your site—such as which ...

As part of our HIMSS22 conversations surrounding the Smart Hospital, we will be guiding our audience through a tour of the transformations we’re seeing in these settings. On this podcast, Chris Gough, ...

The climate economics index stress-tests reveal that climate change will impact 48 nations, encompassing 90% of the global economy, and evaluate their overall climate resilience Machine learning (ML) ...

Predictive maintenance and digital twin technologies use real-time aircraft data and advanced analytics to help MROs increase ...

Professor Ed Malthouse talks about his approach to teaching this vital skill as he takes over as the new instructor of the MSiA program’s introductory class. The best way to understand the importance ...

While not as mature as its use in other areas, health systems across the U.S. are beginning to adopt predictive analytics tools for labor cost forecasting. Many organizations have automated ...

Steven Spielberg’s 2002 thriller, Minority Report, centers an entire universe of speculation around fate and predestination. Tom Cruise plays police chief John Anderton, who oversees a department ...

The term machine learning was first introduced by Arthur Samuel in 1959. Machine learning is a type of artificial intelligence that gives computers the ability to learn without being explicitly ...