Predicting A Better Future With Swarm Intelligence
Have you put a bet on the FIFA World Cup? If yes, the chances are you’ve made a pretty educated guess, right? You know which team has the strongest players or most favourable odds. Or maybe you’ve put some cash on your country’s team, (which normally I’d avoid England, but given their recent performance, I could be wrong too!)
Either way, you might be best casting your bets in line with San Francisco based Unanimous AI. They use a technology called Swarm AI – algorithms modelled on swarms in nature that amplifies human intelligence. By using human intelligence and artificial intelligence together, they can predict outcomes better than humans or AI acting alone.
Schools of fish, colonies of ants, swarms of bees, flocks of birds all use an intelligence system and are smarter together in order to navigate the natural world. They act in feedback loops, also called a hive mind or swarm intelligence that is found in many social species. This gives them a heightened intelligence, and Unanimous AI have replicated this using AI and human intelligence in order to carry out services for businesses like market research, analysis, forecasting and strategic insights.
Use the intelligence of groups, in a contracted hive mind online with AI algorithms to find the best outcomes.
You may well be a bit skeptical, but Unanimous AI have successfully used their technology to predict other sporting events. They defied 542-1 odds and predicted the annual Kentucky Derby’s top four winning horses in the exact order in 2016. Seeing the potential, there is now a partnership between Churchill Downs and Twin Spires, using the predictions from Unanimous AI to form a pool for people to bet on their ‘super expert’ forecast. How did they do this? To form the predictions, they took 20 horse racing enthusiasts and connecting them online, they could ‘think together’ to predict the winners. The swarm intelligence would drive the predictions to different horses, amplified by the AI technology… and ended up being completely correct! Looking back at the research, out of the 20, no individual got all four horses correct, but as a swarm they predicted all horses correctly.
