Talk Title: Learning from Multi-Agent, Emergent Behaviors in a Simulated Environment
As head of machine learning at Unity, Lange leads the company’s innovation around AI (Artificial Intelligence) and Machine Learning, focusing on bringing AI to simulation and gaming.
Prior to joining Unity, Lange was the head of machine learning at Uber, where he led efforts to build the world’s most versatile Machine Learning platform to support the company’s hyper-growth. Lange also served as General Manager of Amazon Machine Learning — an AWS product that offers Machine Learning as a Cloud Service. Before that, he was Principal Development Manager at Microsoft where he led a product team focused on large-scale Machine Learning for Big Data.
Lange spent 8 years on Speech Recognition Systems, first as CTO of General Magic, Inc., then through his work on General Motor’s OnStar Virtual Advisor, one of the largest deployments of an intelligent personal assistant until Siri. Danny started his career as a Computer Scientist at IBM Research.
He holds MS and Ph.D. degrees in Computer Science from the Technical University of Denmark. He is a member of ACM and IEEE Computer Society and has several patents to his credit.
Professor Marc Pollefeys, Professor, ETH Zurich and Director of Science, Microsoft
Talk Title: Mixed Reality, Robotics, and Spatial Intelligence
Marc Pollefeys is a Professor of Computer Science at ETH Zurich and the Director of the Microsoft Mixed Reality and AI Lab in Zurich where he works with a team of scientists and engineers to develop advanced perception capabilities for HoloLens and Mixed Reality. He was elected Fellow of the IEEE in 2012. He obtained his PhD from the KU Leuven in 1999 and was a professor at UNC-Chapel Hill before joining ETH Zurich.
He is best known for his work in 3D computer vision, having been the first to develop a software pipeline to automatically turn photographs into 3D models, but also works on robotics, graphics, and machine learning problems. Other noteworthy projects he worked on are real-time 3D scanning with mobile devices, a real-time pipeline for 3D reconstruction of cities from vehicle mounted-cameras, camera-based self-driving cars, and the first fully autonomous vision-based drone. Most recently his academic research has focused on combining 3D reconstruction with semantic scene understanding.
Dr. Victoria Interrante, Professor, University of Minnesota
Talk Title: Spatial Perception in Immersive Virtual Environments
Dr. Interrante works for the Department of Computer Science and Engineering at the University of Minnesota. Professor Interrante’s research focuses on applying insights from visual perception and cognition to the development of more effective virtual reality experiences and the more effective communication of complex information through visual imagery. In this work, she has enjoyed collaborating with colleagues in a wide variety of fields, from architectural design and neuropsychology to engineering and medicine.
Dr. Interrante is a recipient of the 2020 IEEE VGTC Virtual Reality Career Award in recognition of her lifetime contributions to visualization and visual perception for AR and VR, and the 1999 Presidential Early Career Award for Scientists and Engineers, “the highest honor bestowed by the U.S. government on outstanding scientists and engineers beginning their independent careers”. She was also a recipient of the 2001-2003 McKnight Land-Grant Professorship from the University of Minnesota.
At the University of Minnesota, Dr. Interrante is currently serving as the director of the University-wide Center for Cognitive Sciences and as a member of the graduate faculty in the interdisciplinary Cognitive Science and Human Factors programs. She also served from 2010-2013 as a member and 2013-2014 as co-chair of the Women’s Faculty Cabinet, providing consultation and advice to the Vice Provost for Faculty and Academic Affairs to improve and enrich the academic and professional environments for women faculty at the University of Minnesota. She also served as Director of Graduate Studies for the Department of Computer Science and Engineering from 2010-2013..
Ms. Jennifer Esposito, VP Health, Magic Leap
Talk Title: Vision of how AI machine learning applies to VR/AR for health applications
Ms. Esposito is the Vice President and General Manager, Health at Magic Leap, where she also leads overall corporate strategy and development. With over 20 years of experience, Jennifer is a seasoned tech, healthcare IT, medical devices, and biotech executive. After spending over 13 years at GE Healthcare, Jennifer was the General Manager of Health and Life Sciences at Intel Corporation prior to joining Magic Leap.
Jennifer is a board director at VivaLNK and advisor to start-ups focused on digital health and biotechnology. She is active in initiatives on global health, identifying novel ways technology can be used to advance the SDGs and IHRs and is the former co-chair of the Working Group on Digital Health for the Broadband Commission for Sustainable Development and former co-chair of the Global Health Security Agenda Private Sector Roundtable.
Jennifer has a graduate degree from the Dartmouth Institute for Health Policy and Clinical Practice at Dartmouth College where she focused on Epidemiology and Biostatistics and remains a full member of the American Association of Physicists in Medicine. She holds a patent for industrial IoT medical imaging equipment.
Dr. Mikaël Bourges-Sévenier, Fellow, SiMa.ai
Talk Title: Enabling Intelligence from Reality
Dr. Bourges-Sévenier joined SiMa.ai as a Fellow to oversee system solutions to accelerate the proliferation of high-performance machine learning inference at very low power in embedded edge applications. Before joining SiMa.ai, Mikaël was the Senior Director and Architect for deep learning visual enhancements at Intel, Fellow for Performance Application Engineering on Multimedia at AMD, Director of High-Performance Imaging at Aptina, Senior Architect of 3D, GPGPU, Multimedia at Motorola Mobility, Senior Manager of Technology Strategy at Dolby Laboratories, Senior Computer Scientist and Architect of Mobile and Devices at Adobe Systems, and others.
Mikaël written many foundational books in animation framework including Core Web3D, An Introduction to the MPEG-4 Animation Framework Extension (AFX), The MPEG-4 Jump Start, etc. Mikaël has made significant contributions to the ISO/IEC JTC 1/SC 29/WG 11 (MPEG) and was the Chair for the Synthetic and natural Hybrid Coding (SNHC) Subgroup and produced many valuable ISO/IEC foundational standards for enabling immersive computing.
Professor Lizbeth Goodman, Director SMARTlab and Professor, University College Dublin
Talk Title: Artificial Stupidity and Intelligent Systems in the (R)evolution of digital supports to Actual Reality
is Chair of Creative Technology Innovation and Professor of Inclusive Design for Education at University College Dublin, College of Engineering and Architecture. She founded the SMARTlab in its first iteration in 1992, and has developed the award winning practice-based PhD Programme through the institute, along with the associated MAGIC Multimedia and Games Innovation Centre and Gamelab internationally as well as founding the Inclusive Design Research Centre of Ireland.
Prior to joining UCD, Lizbeth was Director of Research for Futurelab Education, working with David Puttnam’s team to establish innovative platforms for the future of education in a context of global change. In 2019 she was named Woman of the Decade by the Women’s Forum of WEF. In 2008 she was named ‘Best Woman in Academia and the Public Sector’ and also ‘Best Woman in Technology’ by the Blackberry Rim international awards panel. She was nominated to Chair the Royal Irish Academy’s Social Sciences Committee in 2012. She is the author/editor of 14 books and many peer-reviewed articles, and a prolific broadcast presenter on TV, Radio and Online. She is PI and co-PI of several major funded research projects, and also an evaluator and judge of numerous research council and EC evaluation panels. She is known as an expert in Digital Inclusion, including learning models for communities at risk. She is an award-winning advocate of community-based ethical learning and teaching models using interactive tools and games to inspire and engage learners of all ages using novel Virtual and Augmented Reality, Assistive Technology, and Creative Tech solutions developed by her team.