"Advances in Deep Neural Networks," at ACM Turing 50 Celebration

Deep neural networks can be trained with relatively modest amounts of information and then successfully be applied to large quantities of unstructured data. Deep learning techniques have been applied with great success to areas such as speech recognition, image recognition, natural language processing, drug discovery and toxicology, customer relationship management, recommendation systems, and biomedical informatics. The capabilities of deep neural networks, in some domains, have proven to rival those of human beings. Panelists will explore how deep neural networks are changing our world and our jobs. They will also discuss how things may further change going forward.

Moderator:
Judea Pearl (2011 Turing Laureate), University of California, Los Angeles

Panelists:
Michael I. Jordan, University of California, Berkeley
Fei-Fei Li, Stanford University
Stuart Russell, University of California, Berkeley
Ilya Sutskever, OpenAI
Raquel Urtasun, University of Toronto

Видео "Advances in Deep Neural Networks," at ACM Turing 50 Celebration канала Association for Computing Machinery (ACM)