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MoglAforecastthe unexpected resultofthe USelection,while UNU knowswhich horsewiM wina race. Here's how predictive AI is giving new insight into the future
The US election result came as a surprise to many - the President-elect included - but not MogIA. The predictive artificial intelligence system out-figured most professional pollsters, calling Donald Trump's electoral success at the beginning of November.
A rival system called UNU picked Hillary Clinton to win the popular vote, which she duly did, and it correctly predicted another notoriously difficult to call American race, the Kentucky Derby.
Both systems work by listening to people. MogIA scans public social networks, while UNU surveys respondents, taking that human opinion and "amplifying" it into a system called "swarm intelligence".
AI using neural networks seek to mimic the brain's network of cells, explains Louis Rosenberg, founder ofUNU-creator Unanimous AI, while "swarms" gather intelligence via a network of people.
"It's an emergent intelligence, moderated by computer software, but leveraging the wisdom, insights, and intuition of human agents," he said. "And it turns out that these artificially intelligent 'human swarms' are very smart....