Presented By O’Reilly and Intel AI
Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK

On the road to artificial general intelligence

Danny Lange (Unity Technologies)
11:55–12:35 Wednesday, 10 October 2018
Interacting with AI
Location: King's Suite - Sandringham
Secondary topics:  Media, Marketing, Advertising, Reinforcement Learning

Who is this presentation for?

  • Game developers and business leaders who need 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

Description

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

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