The Evolution of Artificial Intelligence

Speaker:  Michael Gschwind – Yorktown Heights, NY, United States
Topic(s):  Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science

Abstract

As computing systems transform to become more responsive to human needs, cognitive computing systems are posed to revolutionize computing.  Artificial Neural Networks hold out the promise of transforming entire fields of applications, as many AI technologies have before.  This presentation reviews the role that hardware architecture has played in solving AI challenges in the past, from beating the reigning Chess world champion to winning jeopardy, and how hardware accelerators are enabling Deep Learning and Artificial Neural Networks to deliver the next generation of AI advances, from advanced image search to self driving cars.

About this Lecture

Number of Slides:  40
Duration:  60-90 minutes
Languages Available:  English
Last Updated: 

Request this Lecture

To request this particular lecture, please complete this online form.

Request a Tour

To request a tour with this speaker, please complete this online form.

All requests will be sent to ACM headquarters for review.