The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...

Abstract: Traffic flow prediction plays a crucial role in Intelligent Transportation Systems (ITS), as it substantially enhances traffic management efficiency, alleviates congestion, and improves road ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...

The University of Michigan is using GPS technology from inside your car that will not only mean less time waiting in traffic, it will also make roads safer. The system only needs GPS data from 5% of ...

Losing something you spent time working on, or photos that you can't replace, is devastating. You might think this is a problem of the past because of cloud storage services like Apple's own iCloud, ...

The deployment of various sensors including inductive loops, radars, GPS devices, cameras and floating car data (FCD) in intelligent transportation systems generates a stream of heterogeneous data, ...

The National Hockey League has signed multiyear licensing deals with prediction market platforms Kalshi and Polymarket, becoming the first major U.S. professional sports league to permit the use of ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

A group of Bay Area entrepreneurs has paired artificial intelligence with traffic lights and may be blazing a trail to the future. San Anselmo is a small town, but you wouldn't know it from the ...

In a significant step toward improving road safety, Johns Hopkins University researchers have developed an artificial intelligence-based tool that can identify the risk factors contributing to car ...