Industry Expert Blogs
Deep Learning - The FutureeSilicon Blog - eSiliconApr. 27, 2018 |
Following up from my last post on our deep learning event at the Computer History Museum – “ASICs Unlock Deep Learning Innovation,” I’d like to take a glimpse into the future. Like many such discussions, it’s often useful to take a look back first to try and make sense out of what is to come. That’s essentlially what our keynote speaker, Ty Garibay did at the event. Ty is the CTO of Arteris IP. While Arteris IP is one of the many partners we work with in the emerging deep learning market, that wasn’t the reason Ty was presenting.
Ty is a CPU architect and IC design manager who worked at Intel and Altera before joining Arteris IP. It was in that capacity that we asked Ty to comment on deep learning – where it’s been and some thoughts on where it may be going. Ty’s presentation delivered on this agenda and I’ll cover a few of the observations he made. I think Ty may have found the true beginning of AI. In 1726, Jonathan Swift published the rather famous work, Gulliver’s Travels, which included a description of a machine called “The Engine.” Briefly, this was “a Project for improving speculative Knowledge by practical and mechanical Operations.” Anyone want to find an earlier reference to AI?