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Thursday, October 10 • 11:00am - 12:00pm
AI & Machine Learning: How Did We Get Here? FILLING

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Machine learning as a concept has existed as long as practical artificial intelligence, since the invention of the Perceptron in 1957.  But you would be correct to say that machine learning's popularity within the AI community has waxed and waned over the years, with a lot of interest in recent years due to the successes of deep neural networks. Today, a lot of these and other techniques are still used as part of more complex AI systems, though machine learning can often be used in some part of the system to help it improve.

So what was the AI community investing in when machine learning seemed less promising? Today we'll discuss logic and automated reasoning in the early days of AI research, how we managed to encode a lot of simple facts into a machine, and how those machines use inference and deduction to reach an answer.

Moderators
avatar for Erick Herring

Erick Herring

CTO, VYNYL
Erick Herring is Vynyl’s Chief Technology Officer. Erick has been building and operating internet-based systems since the Internet was still the NSFNet and has been building the web since it was distributed as a set of floppy disks for NeXT computers. Erick’s career has been focused... Read More →

Speakers
avatar for Craig Rieger

Craig Rieger

Chief Control Systems Research Engineer and Directorate Fellow, Idaho National Laboratory
Craig Rieger, PhD, PE, is the Chief Control Systems Research Engineer at the Idaho National Laboratory (INL), pioneering multidisciplinary research in the area of next generation resilient control systems. In addition, he has organized and chaired nine Institute of Electrical and... Read More →
avatar for Steve Gorrono

Steve Gorrono

R&D Scientist/Signal Processing Engineer, Saalex Solutions, DoD Labs
Steve Gorrono is a R&D Scientist/Signal-Processing Engineer for DoD Labs working in the area of optimal detection and estimation algorithms. Steve is a SME in RADAR dynamic-signature recognition and stochastic propagation-channel modeling for wireless systems. His areas of interest... Read More →
avatar for Josh Johnston

Josh Johnston

Director of AI Science, Kount
Josh Johnston leads Kount’s AI Science team in its fight against digital fraud. His algorithms operate in less than 250ms to protect hundreds of millions of dollars of payment transactions each day. Previously, he built self-driving cars for the DARPA Grand Challenges, autonomy... Read More →


Thursday October 10, 2019 11:00am - 12:00pm
JUMP (The Loft - 5th Floor) 1000 W Myrtle St, Boise, ID 83702

Attendees (126)