Dr. Ya-Qin Zhang is Chair Professor of AI Science at Tsinghua University, and Dean of Institute for AI Industry Research (AIR) of Tsinghua University. He served as the President of Baidu Inc. for 5 years (2014.09-2019.10). Prior to Baidu, Dr. Zhang was an executive at Microsoft for 16 years with different key positions, including Managing Director of Microsoft Research Asia, Chairman of Microsoft China, and Corporate Vice President and Chairman of Microsoft Asia R&D group.
Dr. Zhang was elected to the Chinese Academy of Engineering (CAE) as a Foreign Member, the American Academy of Arts and Sciences (AAA&S), Australian Academy of Engineering (ATSE), and US National Academy of Inventors (NAI). He became an IEEE Fellow in 1997 at age 31 as the youngest Fellow of the organization’s 100+ year history. He is one of the top scientists in digital video and AI, with over 500 papers, 60 granted US patents, and 11 books.
He serves on the Board of Directors of four public companies. He is on the industry board of United Nation Development Program (UNDP), and received UN’s special award for sustainable development in 2016. He is the Chairman of world’s largest open autonomous driving platform “Apollo” alliance with over 200 global partners. He has been an active speaker in global forums including APEC, Davos World Economic Forum, United Nations, and Bo’Ao Asia Forum.
Title: Advances in Autonomous Driving
Abstract: Artificial Intelligence (AI) has become a critical technology for the new digital economy. Of particular interest is the autonomous driving technological breakthrough that is profoundly changing the automotive and transportation industry.
Autonomous driving presents a historical opportunity to transform the academic, technological, and industrial landscape with advanced sensing and actuation, high definition mapping, new machine learning algorithms, smart planning and control, new 5G/6G infrastructure, and cloud and edge computing. Indeed, we have witnessed unprecedented innovation and activities in the past five years in R&D, investment, joint ventures, road tests and commercial trials, from auto makers, tier-ones, and new forces from the internet and high-tech industries.
In this talk, I will speak about the new advances in research and engineering of autonomous driving. Research in generative AI, LLM, and new machine learning algorithms has significantly improved the safety and efficiency of the sensing and decision model. The multi-modal sensing and V2X have accelerated the deployment of the AD systems. I will also highlight some of the exciting work of Apollo, world’s largest open platform on Advances in Autonomous Driving, and update on the large scale trials and commercialization efforts in several Chinese cities.