Epstein Secrets

/esh and Machines. George M. Church is Robert Winthrop Professor of Genetics at Harvard Medical School; Professor of Health Sciences and Technology, Harvard-MIT; and co-author (with Ed Regis) of Regenesis: How Synthetic Biology Will Reinvent Nature and Ourselves. Daniel C. Dennett is University Professor and

use, because this method lacks transparency. While recognizing the impressive achievements in deep learning by colleagues such as Michael Jordan and Geoffrey Hinton, he feels uncomfortable with this kind of opacity. He set out to understand the theoretical limitations of deep-learning systems and points out that

S George M. Church George M. Church is Robert Winthrop Professor of Genetics at Harvard Medical School; Professor of Health Sciences and Technology, Harvard-MIT; and co-author (with Ed Regis) of Regenesis: How Synthetic Biology Will Reinvent Nature and Ourselves. In 1950, Norbert Wiener’s Zhe Human Use of Hu

euroscience communities need to interact closely, something that is happening already. Some of today’s greatest exponents of machine learning—such as Geoffrey Hinton, Zoubin Ghahramani, and Demis Hassabis—have backgrounds in cognitive neuroscience, and their success has been at least in part due to attempts to mod

/esh and Machines. George M. Church is Robert Winthrop Professor of Genetics at Harvard Medical School; Professor of Health Sciences and Technology, Harvard-MIT; and co-author (with Ed Regis) of Regenesis: How Synthetic Biology Will Reinvent Nature and Ourselves. Daniel C. Dennett is University Professor and

use, because this method lacks transparency. While recognizing the impressive achievements in deep learning by colleagues such as Michael Jordan and Geoffrey Hinton, he feels uncomfortable with this kind of opacity. He set out to understand the theoretical limitations of deep-learning systems and points out that

S George M. Church George M. Church is Robert Winthrop Professor of Genetics at Harvard Medical School; Professor of Health Sciences and Technology, Harvard-MIT; and co-author (with Ed Regis) of Regenesis: How Synthetic Biology Will Reinvent Nature and Ourselves. In 1950, Norbert Wiener’s Zhe Human Use of Hu

euroscience communities need to interact closely, something that is happening already. Some of today’s greatest exponents of machine learning—such as Geoffrey Hinton, Zoubin Ghahramani, and Demis Hassabis—have backgrounds in cognitive neuroscience, and their success has been at least in part due to attempts to mod