Can AI Systems Really “Think”?
Is it possible to build a computer that operates at the same level as a human brain? In recent years, AI has made several dramatic leaps such as speech recognition, natural language understanding, machine vision, and even automated game play. However some say that more pointed techniques, such as Deep Learning, while appropriate for more “perceptual” tasks, won’t be sufficient to solve many of the core components of human intelligence, like the ability to reason, plan, or perform tasks.
This panel will explain the strengths and limitations of Deep Learning and Deep Reasoning, and seek to find if they will be sufficient to advance machines to the next level of human-like intelligence.
Presenters
Adam Cheyer
Co-Founder & VP of Engineering
Viv Labs
Adam Cheyer is cofounder and VP Engineering of Viv Labs, a startup whose goal is to simplify the world by providing an intelligent interface to everything. Previously, Adam was cofounder and VP Eng...
Show the restJohn Markoff
Sr Writer Science Section
New York Times
John Markoff, senior writer for The New York Times, writes for the paper's science section.
He began writing about technology in 1976 and joined The Times in 1988. He gained some notoriety several...
Show the restOren Etzioni
CEO, Allen Institute for AI (AI2); Professor, University of Washington Computer Science & Engineering
Allen Institute for Artificial Intelligence
Dr. Oren Etzioni is Chief Executive Officer of the Allen Institute for Artificial Intelligence. He has been a Professor at the University of Washington's Computer Science department starting in 199...
Show the restRana el Kaliouby
Co-Founder & Chief Science Officer
Affectiva
Rana el-Kaliouby is the Chief Science Officer and Co-founder of Affectiva, the leading experts in consumer emotion analytics and emotion-sensing technology. She invented the companys’ award-winning...
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