terrifying implication
The wonderful and terrifying implications of computers that can learn Jeremy Howard TEDxBrussels
This talk was given at a local TEDx event, produced independently of the TED Conferences. The extraordinary, wonderful, and terrifying implications of computers that can learn Jeremy is the CEO of Enlitic, which uses recent advances in machine learning to make medical diagnostics faster, more accurate, and more accessible. The company's mission is to provide the tools that allow physicians to fully utilize the vast stores of medical data collected today, regardless of what form they are in - such as medical images, doctors' notes, and structured lab tests. He is a serial entrepreneur, business strategist, developer, and educator. He is also the youngest faculty member at Singularity University, where he teaches data science, and is a Young Global Leader with the World Economic Forum.
Jeremy Howard: The wonderful and terrifying implications of computers that can learn
What happens when we teach a computer how to learn? Technologist Jeremy Howard shares some surprising new developments in the fast-moving field of deep learning, a technique that can give computers the ability to learn Chinese, or to recognize objects in photos, or to help think through a medical diagnosis. Get caught up on a field that will change the way the computers around you behave … sooner than you probably think. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more.