When Machines Have Ideas | Ben Vigoda | TEDxBoston
Astronomers shared stories through the ages, enabling them to contradict and learn from each other. They broke stories apart and put them together in better ways—readjusting and reconsidering beliefs—to present new ideas that are more compelling and more accurate. Machines can do that too. "When we build stories into machine intelligence systems, we should enable them to attach probabilities to their stories" says Ben Vigoda.
Ben Vigoda is Founder, CEO/CTO of Gamalon Machine Intelligence. Before founding Gamalon, Ben was technical co-founder and CEO of Lyric Semiconductor, a startup that created the first integrated circuits and processor architectures for statistical machine learning and signal processing. He currently serves on the DARPA Information Science and Technology (ISAT) steering committee. Ben also co-founded Design That Matters, a not-for-profit that for the past decade has helped solve engineering and design problems in under-served communities and has saved thousands of infant lives by developing low-cost, easy-to-use medical technology such as infant incubators, UV therapy, pulse oximeters, and IV drip systems that have been fielded in 20 countries. Ben completed his PhD at MIT developing circuits for implementing machine learning algorithms natively in hardware.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Видео When Machines Have Ideas | Ben Vigoda | TEDxBoston канала TEDx Talks
Ben Vigoda is Founder, CEO/CTO of Gamalon Machine Intelligence. Before founding Gamalon, Ben was technical co-founder and CEO of Lyric Semiconductor, a startup that created the first integrated circuits and processor architectures for statistical machine learning and signal processing. He currently serves on the DARPA Information Science and Technology (ISAT) steering committee. Ben also co-founded Design That Matters, a not-for-profit that for the past decade has helped solve engineering and design problems in under-served communities and has saved thousands of infant lives by developing low-cost, easy-to-use medical technology such as infant incubators, UV therapy, pulse oximeters, and IV drip systems that have been fielded in 20 countries. Ben completed his PhD at MIT developing circuits for implementing machine learning algorithms natively in hardware.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Видео When Machines Have Ideas | Ben Vigoda | TEDxBoston канала TEDx Talks
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
A New Philosophy on Artificial Intelligence | Kristian Hammond | TEDxNorthwesternUNeuroscience and Artificial Intelligence Need Each Other | Marvin Chun | TEDxKFASThe wonderful and terrifying implications of computers that can learn | Jeremy Howard | TEDxBrusselsWhat is a Thought? How the Brain Creates New Ideas | Henning Beck | TEDxHHLMatemática: del diccionario al Principito | Alejandro Kocsard | TEDxRosarioOur future with bees | Noah Wilson-Rich | TEDxBostonHow we can create unique work spaces | Nigel Oseland | TEDxSurreyUniversityFinding alien life: Christoph Adami at TEDxUIUCThe Terminator, SkyNet and Alexa: The Present and Future of A.I. | Marc Talluto | TEDxIWULa estadística, ¿La prostituta de las matemáticas? | Erika Don Juan | TEDxTecdeMtyJuarezThe Power of Bicycles | F.K. Day | TEDxMidAtlanticArt of Breathing | Tina Sodhi | TEDxWabashCollegeReading minds | Marvin Chun | TEDxYaleLess Coding, Better Product: Paulo Rosado at TEDxEdgesHow Hope Can Change Your Life | Amy Downs | TEDxOklahomaCityVisualizing data for the new age | Sey Min | TEDxBITSHyderabadState Sanctioned Hacking - The Elephant in the Room: Frank Heidt at TEDxMidwestDrilling on Mars | Christopher Hoftun | TEDxBergenTeaming Up to Drive Scientific Discovery: Brian Uzzi, PhD at TEDxNorthwesternUActitud | Victor Küppers | TEDxAndorralaVella