Who Will Win Jaguars vs. Giants? AI Predicts

It should be close.

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The Jacksonville Jaguars have one of the elite defenses in the league, and will depend on their dominant secondary to withstand a potent Giants offense that features wideout Odell Beckham Jr. when they travel to MetLife stadium to play the New York Giants on Sunday.

To predict the result of this Week 1 match-up, Unanimous A.I. used what’s known as swarm intelligence to forecast the week’s slate. About 50 NFL worked together as a hive mind to make picks. As you can see in the animation below, each participant controlled a little golden magnet and used it to drag the puck toward the answer they thought was the most likely outcome. As the users see the puck move toward a particular outcome, it triggers a psychological response. They readjust their decision-making, building toward a consensus.

Jaguars vs Giants
The swarm has low confidence that Jacksonville will defeat New York on Sunday.

The outcome of this game isn’t one-sided, and a swarm of 33 NFL experts predicts that Jacksonville will win, but it isn’t confident about it. This game will be one to watch closely on Sunday.

The Giants host the Jaguars in a 1 p.m. kickoff on Sunday, September 9.

Unanimous A.I. has made some scarily accurate predictions in the past using swarm intelligence, as our previous article explains. For instance, the swarm picked this year’s Oscar winners with 94 percent accuracy. Here’s Unanimous A.I. founder Louis Rosenberg explaining swarm intelligence at a recent TEDx Talk.

In related news, Unanimous A.I. recently presented a scientific study of its ability to forecast games in the National Hockey League. In a 200-game, 20-week-long study of its Swarm AI in the NHL, it was able to easily outperform Las Vegas expectations, and its “Pick of the Week” was right 85 percent of the time, producing a 170 percent ROI. The paper, titled “Artificial Swarm Intelligence versus Vegas Betting Markets,” was presented at the at the IEEE Developments in eSystems Engineering Conference (DeSE 2018) this month at Downing College in Cambridge, England. In a press release issued with the study, co-author Gregg Wilcox says the technology can be applied to matters outside sports, too. “While it’s fun to predict sports, we are currently applying the same techniques to a wide variety of other domains, including financial forecasting, business forecasting, and medical diagnosis, all with positive results.”


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