Theresa Duringer is CEO of Temples Gates Games, a San Francisco based game studio creating award-winning games for Gear, Rift and Vive. Her team is known for Bazaar, Ascension VR, and Race for the Galaxy as well as integrating machine learning AI to challenge even the most experienced players. With a focus on delivering seamless UX with high performance, she uses their custom C++ engine to create flexible solutions for the challenges of delivering games across platforms. Prior to founding Temple Gates Games, she co-created Cannon Brawl and contributed on the Sims, Sim City, and Spore at Maxis.
Prof. David Silver
David Silver leads the reinforcement learning research group at Google DeepMind. David graduated from Cambridge University in 1997 with the Addison-Wesley award. Subsequently, David co-founded the video games company Elixir Studios, where he was CTO and lead programmer, receiving several awards for technology and innovation. David returned to academia in 2004 to study for a PhD on reinforcement learning with Rich Sutton, where he co-introduced the algorithms used in the first master-level 9x9 Go programs. David was awarded a Royal Society University Research Fellowship in 2011, and subsequently became a professor at University College London. David consulted for DeepMind from its inception, joining full-time in 2013, where he leads the reinforcement learning team. David co-led the Atari project, in which a program learned to play 50 different games directly from pixels (Nature 2015). He is best-known for leading the AlphaGo project, culminating in the first program to defeat a top professional player in the full-size game of Go (Nature 2016), as well as the AlphaZero project (Nature 2017), in which a program learned by itself to defeat the world's strongest chess, shogi and Go programs (Science 2018). These achievements have been recognised by awards such as the Marvin Minsky Medal, Royal Academy of Engineering Silver Medal, Mensa Foundation Prize, Cannes Lion Grand Prix and several best paper awards.
Microsoft Research Cambridge
Dr Katja Hofmann is a Senior Researcher at the Machine Intelligence and Perception group at Microsoft Research Cambridge. Her research focuses on reinforcement learning with applications in video games, as she believes that games will drive a transformation of how people interact with AI technology. She is the research lead of Project Malmo, which uses the popular game Minecraft as an experimentation platform for developing intelligent technology. Her long-term goal is to develop AI systems that learn to collaborate with people, to empower their users and help solve complex real-world problems.