​This Tokyo AI (TAI) Advanced AI (AAI) group session will feature speakers on AI in Speech.

​​​Schedule

​​​18:30 - 19:00 Doors open
19:00 - 19:10 Introduction
19:10 - 19:40 TBC (Qi Chen)
19:40 - 20:10 TBC (Nathania Nah)
20:10 - 20:40 TBC (Meishu Song)
20:40 - 21:30 Networking

​Speakers

​​Qi Chen (https://www.linkedin.com/in/qi-chen-5aa30b67/)

​​Title: TBC

​​Abstract: TBC

​​Bio: TBC

​​Nathania Nah (https://www.linkedin.com/in/nathanianah)

​​Title: TBC

​​Abstract: TBC

​​Bio: TBC

​Meishu Song (https://www.linkedin.com/in/meishu-song/)

​​Title: TBC

​​Abstract: TBC

​​Bio: TBC

​​Our Community

​​​​​​Tokyo AI (TAI) is a community composed of people based in Tokyo and working with, studying, or investing in AI. We are engineers, product managers, entrepreneurs, academics, and investors intending to build a strong “AI coreˮ in Tokyo. Find more in our overview: https://bit.ly/tai_overview

​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.

​​Sponsor

​TBD