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
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
