The Compute Requirements of Developing Super-Human Cognition | Kisaco Research

The true potential of AI rests on super-human learning capacity, and on the ability to selectively draw on that learning. Both of these properties – scale and selectivity – challenge the design of AI computers and the tools used to program them.  A rich pool of new ideas is emerging, driven by a new breed of computing company, according to Graphcore co-founder Simon Knowles. In his talk, Simon discusses the creation of the Intelligence Processing Unit (IPU) – a new type of processor, specifically designed for AI computation. He looks ahead, towards the development of AIs with super-human cognition, and explores the nature of computation systems needed to make powerful AI an economic everyday reality.

Session Topics: 
Developer Efficiency
Enterprise AI
ML at Scale
Novel AI Hardware
Systems Design
Sponsor(s): 
Graphcore
Speaker(s): 

Author:

Simon Knowles

Co-Founder, CTO & EVP, Engineering
Graphcore

Simon is co-founder, CTO and EVP Engineering of Graphcore and is the original architect of the “Colossus” IPU.  He has been designing original processors for emergent workloads for over 30 years, focussing on intelligence since 2012.  Before Graphcore, Simon co-founded two other successful processor companies – Element14, acquired by Broadcom in 2000, and Icera, acquired by Nvidia in 2011.  

He is an EE graduate of Cambridge University.

Simon Knowles

Co-Founder, CTO & EVP, Engineering
Graphcore

Simon is co-founder, CTO and EVP Engineering of Graphcore and is the original architect of the “Colossus” IPU.  He has been designing original processors for emergent workloads for over 30 years, focussing on intelligence since 2012.  Before Graphcore, Simon co-founded two other successful processor companies – Element14, acquired by Broadcom in 2000, and Icera, acquired by Nvidia in 2011.  

He is an EE graduate of Cambridge University.