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Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA

On the road to artificial general intelligence

Danny Lange (Unity Technologies)
11:55am-12:35pm Thursday, September 6, 2018
Secondary topics:  Reinforcement Learning, Transportation and Logistics
Average rating: ****.
(4.67, 3 ratings)

Who is this presentation for?

  • Developers and business leaders who want to understand how AI advancements may shape their organizations

Prerequisite knowledge

  • A basic understanding of machine learning and AI concepts
  • No knowledge of reinforcement learning or biological evolution required

What you'll learn

  • Understand how the battle of wits between AIs will force them to get smarter, benefiting business and society in tangible ways


Artificial intelligence imitates human intelligence, but we are still learning how modern artificial intelligence makes decisions. As AI goes through its own evolutionary process, the community is working to understand how to efficiently improve algorithms.

Danny Lange walks you through the role of intelligence in biological evolution and learning, exploring the relationship between intelligence and the senses and demonstrating why a game engine with a spatial (3D) environment in conjunction with a physics engine (gravity, inertia, and collision) is the perfect virtual biodome for AI’s evolution—a controlled, self-sufficient ecosystem that closely replicates the natural outdoor environment. Along the way, Danny explores the scale and speed of simulations and explains how AI is able to learn from an interaction and improve over time as more and more interactions take place. He concludes by sharing new developments in reinforcement learning and the positive effect they will have on a variety of industries.

Photo of Danny Lange

Danny Lange

Unity Technologies

Danny Lange is vice president of AI and machine learning at Unity Technologies, where he leads multiple initiatives around applied artificial intelligence. Previously, Danny was head of machine learning at Uber, where he led the efforts to build a highly scalable machine learning platform to support all parts of Uber’s business, from the Uber app to self-driving cars; general manager of Amazon Machine Learning, where he provided internal teams with access to machine intelligence and launched an AWS product that offers machine learning as a cloud service to the public; principal development manager at Microsoft, where he led a product team focused on large-scale machine learning for big data; CTO of General Magic, Inc.; and founder of his own company, Vocomo Software, where he worked on General Motor’s OnStar Virtual Advisor, one of the largest deployments of an intelligent personal assistant until Siri. Danny started his career as a computer scientist at IBM Research. He is a member of ACM and IEEE Computer Society and has numerous patents to his credit. Danny holds an MS and PhD in computer science from the Technical University of Denmark.