Presented By O’Reilly and Intel Nervana
Put AI to work
September 17-18, 2017: Training
September 18-20, 2017: Tutorials & Conference
San Francisco, CA
Kenneth Stanley

Kenneth Stanley
Senior Research Scientist | Associate Professor, Uber AI Labs | University of Central Florida

Website

Kenneth O. Stanley is an associate professor in the Department of Computer Science at the University of Central Florida, where he is the director of the Evolutionary Complexity research group, and a senior research scientist at Uber AI Labs, which he joined through the acquisition of his company, Geometric Intelligence Inc. Kenneth is an inventor of the Neuroevolution of Augmenting Topologies (NEAT), HyperNEAT, and novelty search neuroevolution algorithms for evolving complex artificial neural networks. His main research contributions are in neuroevolution (i.e., evolving neural networks), generative and developmental systems (GDS), nonobjective search, machine learning for video games, and interactive evolution. He is also a coauthor of the popular science book Why Greatness Cannot Be Planned: The Myth of the Objective from Springer and has spoken widely on its subject. Kenneth has won best paper awards for his work on NEAT, NERO, NEAT Drummer, FSMC, HyperNEAT, ES-HyperNEAT, adaptive HyperNEAT, novelty search, Galactic Arms Race, and NA-IEC. He is an associate editor of IEEE Transactions on Computational Intelligence and AI in Games and the Evolutionary Robotics section of Frontiers in Robotics and AI.

Sessions

11:55am–12:35pm Wednesday, September 20, 2017
Implementing AI
Location: Imperial B Level: Beginner
Secondary topics:  Algorithms, Deep learning, Tools and frameworks, Transportation and autonomous vehicles
Kenneth Stanley (Uber AI Labs | University of Central Florida)
Average rating: ****.
(4.62, 8 ratings)
Kenneth Stanley offers an overview of the field of neuroevolution, an emerging paradigm for training neural networks through evolutionary principles that has grown up alongside more conventional deep learning, highlighting major algorithms such as NEAT, HyperNEAT, and novelty search, the field's emerging synergies with deep learning, and promising application areas. Read more.
1:45pm–2:25pm Wednesday, September 20, 2017
Location: Table 1
Kenneth Stanley (Uber AI Labs | University of Central Florida)
Want a fascinating conversation about evolving artificial neural networks through evolutionary algorithms? Don't miss Kenneth's office hour. Read more.