​​Join us for an evening to explore the world of evolutionary algorithms, hosted by the Tokyo AI (TAI)'s Advanced AI (AAI) group. This session brings together experts doing X, Y and Z. From real-world applications to cutting-edge research, you'll explore how evolutionary algorithms can X.

​Agenda

​​​​18:00 - 18:30 Doors open
18:30 - 18:40 Introduction
18:40 - 19:10 TBC (Sebastian Risi)
19:10 - 19:40 TBC (Nathanael Aubert-Kato)
19:40 - 20:10 TBC (Q. Tyrell Davis)
20:10 - 21:00 Networking

​Speakers

​Sebastian Risi

​​​Title: TBC
Abstract: TBC
Bio: TBC

​Nathanael Aubert-Kato

​​​Title: TBC
Abstract: TBC
Bio: TBC

​Q. Tyrell Davis

​​​Title: TBC
Abstract: TBC
Bio: TBC

​​​​​​​Tokyo AI (TAI) information

​​​​TAI is the biggest AI community in Japan, with 2,700+ members mainly based in Tokyo (engineers, researchers, investors, product managers, and corporate innovation managers). Web: https://www.tokyoai.jp/

​​Organizers

​​​Kai Arulkumaran: Research Team Lead at Araya, working on brain-controlled robots as part of the JST Moonshot R&D program. Previously, he completed his PhD in Bioengineering at Imperial College London and had work experience at DeepMind, FAIR, Microsoft Research, Twitter Cortex, and NNAISENSE. His research areas are deep learning, reinforcement learning, evolutionary computation, and computational neuroscience.

​​​​Craig Sherstan: Research Scientist at Sony AI Tokyo. His current research is on the application of RL to create AI opponents for the video game Gran Turismo. Previously, he completed his PhD in Reinforcement Learning at the University of Alberta, Canada as part of the Bionic Limbs for Improved Natural Control Lab. Craig has past experience working with human-computer interfaces, robotics, and various software industries.

​​​​Ilya Kulyatin: Fintech and AI entrepreneur with work and academic experience in the US, Netherlands, Singapore, UK, and Japan, with an MSc in Machine Learning from UCL.