Presented By O’Reilly and Intel AI
Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA

Schedule: Transportation and Logistics sessions

11:55am-12:35pm Thursday, September 6, 2018
Danny Lange (Unity Technologies)
Average rating: ****.
(4.67, 3 ratings)
Danny Lange discusses the role of intelligence in biological evolution and learning and demonstrates why a game engine is the perfect virtual biodome for AI’s evolution. You'll discover how the scale and speed of simulations is changing the game of AI while learning about new developments in reinforcement learning. Read more.
1:45pm-2:25pm Thursday, September 6, 2018
Implementing AI
Location: Imperial B
Shaoshan Liu (PerceptIn)
Average rating: ***..
(3.00, 1 rating)
Shaoshan Liu explains how PerceptIn built a reliable autonomous vehicle with a total cost under $10,000. Read more.
4:50pm-5:30pm Thursday, September 6, 2018
Implementing AI
Location: Imperial B
Cathy Wu (UC Berkeley)
Using novel techniques in model-free deep reinforcement learning and control theory, Cathy Wu explores and quantifies the potential impact of a small fraction of automated vehicles on low-level traffic flow dynamics, such as congestion on a variety of important traffic contexts. Read more.
4:50pm-5:30pm Friday, September 7, 2018
AI in the Enterprise
Location: Continental 1-3
Ramzi Roy Labban (Consolidated Contractors Company (CCC))
Average rating: *....
(1.00, 1 rating)
Estimating the performance of heavy earth-moving equipment on large construction projects is a complex task that can be riddled with uncertainty. Ramzi Roy Labban details how CCC uses machine learning, leveraging large datasets of actual performance of trucks on construction sites, to more accurately predict future performance and allow the company to make realistic performance assumptions. Read more.