Sport

The outcome of the FIFA World Cup 2022 depends on learning algorithms. The annual championship tournament of football, which wraps up this week, is using machine learning to help human arbiters spot players who break a rule that governs their locations on the field.

Playing a team sport involves a fluid blend of individual and group skills. Researchers integrated both types of action into realistic humanoid agents that play football (known as soccer in the U.S.).

Computer vision is keeping a close eye on athletes at the Summer Olympic Games in Tokyo. Omega Timing, a Swiss watchmaker and the Olympic Games’ official timekeeper, is providing systems that go far beyond measuring milliseconds.

Covid shut down the tennis tournament at Wimbledon this year, but a new model simulates showdowns between the sport’s greatest players. Stanford researchers developed Vid2Player, a system that simulates the footwork, positioning, and strokes of tennis pros like Roger Federer.

Football clubs are turning to computer vision for winning insights. Acronis, a Swiss cloud storage and security company, offers AI services designed to give a boost to some of the world’s top football clubs (soccer teams, to Americans), Wired reported.

From blue collar laborers to lab coated professionals, is any job safe from AI? AI will exceed human performance at a wide range of activities. Huge populations will become jobless.

Pilots in drone races fly souped-up quadcopters around an obstacle course at 120 miles per hour. But soon they may be out of a job, as race organizers try to spice things up with drones controlled by AI.

Basketball coaches sketch plays on a whiteboard to help players get the ball through the net. A new AI model predicts how opponents would respond to these tactics. A team of researchers in Taiwan trained a conditional generative adversarial network on data from National Basketball Association games.