Sign In

Communications of the ACM

ACM TechNews

IBM Claims Its Neural Computer Achieves Record AI Model Training Time


View as: Print Mobile App Share: Send by email Share on reddit Share on StumbleUpon Share on Hacker News Share on Tweeter Share on Facebook
A single card in IBM's Neural Computer.

IBM have developed a reconfigurable parallel processing system to research and develop emerging artificial intelligence algorithms and computational neuroscience.

Credit: IBM

Researchers at IBM have developed a reconfigurable parallel processing system, called the IBM Neural Computer, in order to research and develop emerging artificial intelligence (AI) algorithms and computational neuroscience.

The first application demonstrated on the Neural Computer a deep "neuroevolution" system that combines the hardware implementation of an Atari 2600, image processing, and AI algorithms in an optimized pipeline.

The IBM Neural Computer is made up of 432 nodes based on field-programmable gate arrays. The nodes are arranged in a three-dimensional mesh topology, interconnected vertically with electrical connections called through-silicon vias that pass completely through silicon wafers or dies.

The team used 26 out of 27 nodes per card within the Neural Computer, completing experiments on a total of 416 nodes.

From VentureBeat
View Full Article

 

Abstracts Copyright © 2020 SmithBucklin, Washington, DC, USA


 

No entries found