UNU allows groups to chat online in a new way by forming a Swarm Intelligence that can answer questions, make predictions, and each decisions. (Photo : YouTube/ UNU videos)
Artificial intelligence (unanimous) UNU has not only conquered the Oscars and Super Bowl, but also the famous Kentucky derby. Its Swarm Intelligence software has reportedly made betting gamblers richer, with correct predictions owing to its successful forecasting methodologies.
According to News Discovery, UNU is a software program that harnesses the collective power of horse racing professionals to correctly predict the first four horses that cross the finish line and in which order. At last weekend's Kentucky Derby, one experimental player witnessed the power of this software at first hand.
Apparently, reporter Hope Reese of Tech Republic asked the UNU software to do a swarm prediction of the derby last Thursday. The software collected a group of 20 participants, who were well knowledgeable about the race, narrowed the winning horses down to four, and predicted the winning order.
To her amazement, the UNU made correct predictions using expert brainpower. This is not the first time that the software has made correct predictions. Formerly, Swarm Intelligence has seen accurate guesses of winners for National Collegiate Athletic Association (NCAA) championships, the Super Bowl, the Oscars, and primary election results.
Swarm Intelligence works by amplifying human intelligence, rather than replacing it, with the idea that bigger groups can predict an event outcome in a better way than a single individual. Every swarm only produces one response at a time after a push-and-pull decision-making process.
In an interview with Reese, UNU inventor and Unanimous AI chief executive Lois Rosenberg said that forcing polarized groups into a swarm allows them to find an answer that satisfies most of the people. He also asserted that the concept could be used in future AI systems to enable machines to make decisions.
According to him, a swarm is more accurate compared to a poll. A poll gives the most popular answer, while Swarm Intelligence disregards groups' preference and goes for the answer that everyone agrees on.
In the last Kentucky derby, for example, a poll of 20 UNU users could have only resulted in the correct guess of one horse. On the other hand, Swarm Intelligence went ahead and predicted the final lineup of the first four horses.
Swarm Intelligence shows the potential of a new decision-making tool in future gambling as well as in other fields.
Here is a video showing UNU's success in horse race bets:
