View, browse and sort the ever-growing list of sessions by day, time, pass type, topic, and format. With this Session Viewer, you can view session and speaker details for Game Developers Conference 2024.
You will be able to build your schedule with the GDC Mobile App. The GDC 2024 app will be available for download in Apple Apps and Google Play late February 2024.Sessions do fill up and seating is first come, first serve, so arrive early to sessions that you would like to attend. Adding a session to your schedule does not guarantee you a seat.
Julien Merceron (Worldwide CTO, Bandai Namco Studios)
Sarra Habchi (R&D Scientist, Ubisoft)
Elvis Liu (Expert Engineer, Tencent Games)
Chenwei Ding (Senior Technical Engineer, NetEase)
Mateusz Pilski (Co-Founder and COO, Ice Code Games S.A.)
Jakub Marszałkowski (Co-Founder and Board Member, Indie Games Poland)
Miyake Youichiro (Lead AI Researcher, SQUARE ENIX)
Location: Room 2010, West Hall
Date: Tuesday, March 19
Time: 5:40 pm - 6:40 pm
Pass Type: All Access Pass, Summits Pass - Get your pass now!
Topic: Programming
Format: Session
Vault Recording: Video
The GDC Machine Learning Summit has designed this panel session to gather eminent panelists that will be on stage to answer questions from the audience, any question related to Machine Learning in the Video Game Industry. Unlike traditional panels where the moderator asks questions to the panelists, the 60 minutes will be dedicated to the audience. Questions are expected on topics such as Career Management, Working style and Processes, Simulation-to-AI, AI for behavior, AI for Online simulation, AI for Audio or Rendering, AI for Game-as-a-Service features, Generative AI, Build Stability approaches, QA, Game Balancing, Advancements from Academia, AI Developer development environment, and more!
This Panel is all yours! All You Can Ask!
Although the moderator will have questions prepared for the panelists, priority will be given to the audience. This Panel will give attendees a good idea of what are the hot questions of the moment in Machine Learning, as well as knowledge related to the questions.
This panel is designed for all technical people (ie. Programmers, Lead Programmers, Technology Directors and Data Analysts) interested to learn more about Machine Learning aspects. We intend to serve all questions asked, therefore this Panel should be accessible to All levels of interest in Machine Learning in particular.
