A.N.N.A. - Artificial Neural Network Agent for MotoGP™ 19

A.N.N.A is the result of more than 2 years of joint development with Milestone, one of the leading and longest established racing game developer in the world, and it’s a new paradigm rather than traditional AI, where every action is planned by a developer in advance. With neural network-based AI, the approach is completely different; developers don’t dictate preset behaviors, they provide AI a goal and tools available to reach it. Then, through a complex rewarding system, they “teach” AI which behaviors are useful to reach the goal and which are counter-productive; it will be the AI itself that learns which are the best actions to take to reach its goal. This machine learning approach is called reinforcement learning and it allows one to obtain an AI that is extremely aware of the surrounding environment and consequences of its actions. The training phase based on reinforcement learning lasts several months, during which developers can simulate more than 200.000 races in a single day, more than a professional rider can run in his entire life. The result is an extremely realistic and natural driving behavior, with driving systems, maneuvers and techniques very similar to those made by a professional rider. On the performance side, Neural AI lap times are very close to professional rider’s lap times in real life and much faster than a traditional AI system.

Read more: https://www.wired.it/gadget/videogiochi/2019/04/15/anna-motogp-19-intelligenza-neurale/

Bio:

Luca is co-founder and CTO at Orobix, an engineering company focused on delivering AI-based solutions to businesses. He has a Ph.D. in bioengineering and worked in biomedical research until 2009. Over the years he created or worked on numerous open source projects, both in image analysis research (vmtk, 3DSlicer, ITK) as well as in deep learning, being an early core contributor for PyTorch. Luca created RedisTF as an experiment in 2016, which has recently evolved into RedisAI. Co-founder and CEO of [tensor]werk an open source-first developer-focused company that provides a composable suite of focused products that will power the infrastructure of data-defined software development. Co-author of Deep Learning with PyTorch, Manning.

The venue has a limited seating capability, please be considerate and cancel your order if you are not willing to attend so that someone from the waitlist will be able to participate.
The deadline for registering is on the 30th of May.

This event will be held in english.

Agenda:

19:00 Doors opening

19:15 Intro by Data Science Milan community

19:30 Talk

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About the host:

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MIKAMAI is a leading IT consultancy and development agency in Italy. MIKAMAI has earned its dominant reputation for delivering real value to our clients and being leading innovators in emerging technologies in web and mobile solutions and products of the Internet of Things. We work with different languages and technologies, including but not limited to Ruby (and Ruby/Rails), React, AngularJS, Elixir, Redis and PostgreSQL. We tend to work with containers in mind (we are huge docker fans) and we consider ourselves AWS experts.

Website: https://www.mikamai.com/