In poker, as in real-life, we have to make decisions in the face of hidden information. It's a remarkably difficult problem, which artificial intelligence has long struggled with. But with bots finally surpassing humans at poker - and challenging our notions of how the game should be played in the process - there's a lot we stand to learn.

Follow Adam on @AdamJKucharski Adam Kucharski is a TED Fellow, a mathematician and an infectious disease scientist creating new computational approaches to understand how epidemics like Zika and Ebola spread, and how they can be controlled. He is an Assistant Professor in the Department of Infectious Disease Epidemiology at the London School of Hygiene & Tropical Medicine

In addition, Adam’s an award-winning science writer and author of The Perfect Bet: Taking the Luck Out of Gambling where he uses his maths expertise to help deconstruct how gambling works. His articles have appeared in the Observer, Financial Times, Scientific American, and Wired.

He was awarded the 2012 Wellcome Trust/Guardian Science Writing Prize and the 2016 British Science Association Rosalind Franklin Award Lecture. Adam earned his degrees in applied mathematics at the University of Warwick and Cambridge University. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx