Search Results
Your search for "machine learning summit" returned the below results for sessions and speakers.
machine learning summit: SIMA: Developing General AI Agents with Video Games
Summit Speakers: Alexandre Moufarek (Google DeepMind), Piermaria Mendolicchio (Google DeepMind)
Pass Type: All Access Pass, Summits Pass
Track: Programming
Format: Lecture
machine learning summit: 'Rainbow Six Siege': Operation Bots
Summit Speakers: Joshua Romoff (Ubisoft), Alex Busby (Ubisoft)
Pass Type: All Access Pass, Summits Pass
Track: Programming
Format: Lecture
machine learning summit: Next-Gen Infrastructure for Scalable AI/ML
Summit Speakers: Wah Loon Keng (Electronic Arts), Xin Gao (Electronic Arts)
Pass Type: All Access Pass, Summits Pass
Track: Programming
Format: Lecture
machine learning summit: Enhancing Development with LLMs and Multimodal Retrieval in 'Call of Duty'
Summit Speaker: Lorant Mikolas (Infinity Ward, Activision)
Pass Type: All Access Pass, Summits Pass
Track: Programming
Format: Lecture
machine learning summit: Fitting Armor Assets in 'World of Warcraft' with Deep Learning
Summit Speaker: Zhen Zhai (Blizzard Entertainment)
Pass Type: All Access Pass, Summits Pass
Track: Programming
Format: Lecture
machine learning summit: Twitch Chat Safety: Scalable and Personalized Moderation with Deep Learning
Summit Speaker: Linda Liu (Twitch)
Pass Type: All Access Pass, Summits Pass
Track: Programming
Format: Lecture
machine learning summit: Developing a Stats-Based Anti-Cheat Framework for 'Rainbow Six Siege'
Summit Speaker: Bettina Hein (Ubisoft Entertainment)
Pass Type: All Access Pass, Summits Pass
Track: Programming
Format: Lecture
machine learning summit: Machine Learning Aimbot Detection in 'Call of Duty'
Summit Speakers: Haleema Sheraz (Activision (Microsoft)), Mathew Varghese (Activision (Microsoft))
Pass Type: All Access Pass, Summits Pass
Track: Programming
Format: Lecture
machine learning summit: Behind the Platform: Deploying ML for Voice Safety
Summit Speakers: Kiran Bhat (Roblox), Hannes Heikinheimo (Roblox)
Pass Type: All Access Pass, Summits Pass
Track: Programming
Format: Lecture
F.A.C.U.L.: The First FPS AI Companion Who Understands Human Language
Speaker: Elvis Liu (Tencent Games)
Pass Type: All Access Pass, Core Pass
Track: Programming
Format: Lecture
Title: Principal Engineer
Company: Tencent Games
Dr Elvis Liu is a Principal Engineer at Tencent Games, where he heads several research and development teams on distributed virtual environments and AI technologies. He has made significant contributions to cutting-edge projects. One of his most remarkable achievements is spearheading the development of sparring AI agents for Naruto Mobile, the first commercial fighting game to incorporate deep reinforcement learning. To date, this groundbreaking game has facilitated over 2 billion human-AI fighting matches. The design of its AI system has been presented by Dr Liu at the GDC 2024 Machine Learning Summit. Dr Liu has extensive research and teaching experience in the fields of parallel and distributed systems, computer simulations, distributed virtual environments, computer Games, AI, computer graphics, and high-performance computing, and has conducted research and development in Singapore, Hong Kong, Ireland, China, and the United Kingdom. His contributions to these research areas have been acknowledged by invitations to serve on the Programme Committee of the key conferences in these research fields, including ACM SIGSIM-PADS, ACM/IEEE DS-RT, and Winter Simulation Conference. He has also been an Editorial Board Member of the Springer Encyclopedia of Computer Graphics and Games since 2016. Before joining Tencent, Dr Liu had been an Assistant Professor at Nanyang Technological University, Singapore and an IRCSET Fellow of IBM Ireland, which is a prestigious position awarded by the Irish Government. He has received various awards and recognitions throughout his career. Most notably, his work at IBM was selected by ACM for the "19th Annual Best of Computing" list, a collection of the best articles published in computing in 2014.