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Artificial intelligence has the potential to transform the world by allowing us to detect and use previously invisible patterns in data from across every field— from health to genomics to art. But AI expertise is currently out of reach to the people with the potential to do the most good with it: the data generators themselves such as doctors, scientists and creatives. In this talk, I discuss a new approach, developed in my lab, that brings AI education out of the rarefied space of computer science and into the hands of the rest of us: AI for All! Dr. Elan Barenholtz is the Co-Director of the Machine Perception and Cognitive Robotics (MPCR) Lab at FAU. Since 2015, the MPCR has engaged hundreds of people across academic levels, scientific disciplines and industries in the new field of deep learning artificial intelligence and its many applications. Elan began his career as an experimental psychologist, investigating human perception from a behavioral/cognitive-science perspective. The remarkable recent success of artificial neural networks—computer simulations of brain computation that learn—convinced him that an important piece of the puzzle of the brain had been discovered. He co-founded the MPCR to develop theories and applications of broad brain properties—such as perception, attention, curiosity and creativity— and test them embedded in robotic agents and applied to real-world problems. Elan earned his Ph.D. in Experimental Psychology/Cognitive Science at Rutgers University and postdoctoral study at Brown 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