November 17, 2016
Director, Biological Technologies Office, DARPA
T. Jefferson Coolidge Professor of Computer Science and Applied Mathematics, Harvard University
Digital Science Editor, Wall Street Journal
Neural interfaces between human and digital worlds will soon allow machines to learn through an evolutionary process similar to but more efficient than nature’s. Neuroscientist Dr. Justin Sanchez (head of DARPA’s Biological Technologies office) and Harvard Computer Scientist Leslie Valiant explore the complex mechanisms that will enable humans and machines to learn to communicate.
Neural interfaces between human and digital worlds will soon allow machines to learn through an evolutionary process similar to but more efficient than nature’s. Neuroscientist Dr. Justin Sanchez (head of DARPA’s Biological Technologies office) and...
Neural interfaces between human and digital worlds will soon allow machines to learn through an evolutionary process similar to but more efficient than nature’s. Neuroscientist Dr. Justin Sanchez (head of DARPA’s Biological Technologies office) and...
Neural interfaces between human and digital worlds will soon allow machines to learn through an evolutionary process similar to but more efficient than nature’s. Neuroscientist Dr. Justin Sanchez (head of DARPA’s Biological Technologies office) and...
Neural interfaces between human and digital worlds will soon allow machines to learn through an evolutionary process similar to but more efficient than nature’s. Neuroscientist Dr. Justin Sanchez (head of DARPA’s Biological Technologies office) and...
