"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

[@offmeds2nite]

Stuart Russell gave a decent perspective on the limitations of Deep Learning.

[@faraco1000]

More intelligent people are the simpler, like Judea Pearl.

[@yunjie9661]

Indeed

[@JOHNSMITH-ve3rq]

Exact

[@AllenTome]

15:30 famous last words

[@riagayo4174]

How poor OpenAI boy! 😂😂😂

[@ultrasound1459]

This didn't age well 😢💀💀

[@dotnet364]

ilya lords over these pretenders.