Dr. YU Kai
International well-known machine learning expert
Member of New Generation of AI Strategic Planning Committee of the Ministry of Science and Technology
Member of China Securities Regulatory Commission on Science and Technology
The founder & CEO of Horizon Robotics Inc.
余凯博士，地平线创始人&CEO，致力于人工智能芯片的技术创新和商业应用。 他是国际知名机器学习专家，科技部新一代人工智能战略规划委员会委员，中国证监会科技监管委员会委员。2012年-2015年，相继创建百度深度学习研究院（IDL），百度自动驾驶团队，百度大脑PaddlePaddle等项目。2006年-2012年，余博士在NEC美国研究院担任实验室主任，是世界上最早从事深度神经网络研发的学者之一。他在人工智能领域发表论文被引用超过18,000次，获得2013年国际机器学习大会（ICML）最佳论文银奖，曾担任两大顶尖机器学习会议ICML和NIPS的领域主席。他是第一位在著名的ImageNet图像识别评测中获得全球冠军的学者。2011年他在斯坦福大学计算机系任兼职教授，主讲课程“CS121: Introduction to AI”。 加入NEC美国研究院之前他在德国西门子总部的Neural Computing实验室担任高级研究科学家。他于南京大学获得学士和硕士学位，德国慕尼黑大学获得博士学位。
Dr. Kai YU, who is the founder & CEO of Horizon Robotics Inc., has been devoted to the technological innovation and commercial application of AI chips. He is a well-known machine learning expert, a member of New Generation of AI Strategic Planning Committee of the Ministry of Science and Technology as well as a member of China Securities Regulatory Commission on Science and Technology. He has launched a number of innovation projects, including the Baidu Institute of Deep Learning (IDL), Baidu autonomous driving project and Baidu PaddlePaddle in 2012-2015. Dr. Yu was the director of the laboratory at NEC American Institute, and he is one of the earliest scholars to be engaged in the research of deep neural networks in the world. He has published papers with more than 18,000 citations. Dr. Yu received the Best Paper Runner-up Award of ICML-2013, and served as the chairman of ICML and NIPS which are the top machine learning conferences. He is the first scholar to win the world championship in ImageNet, which is a famous image recognition test. In 2001, Dr. Yu has been an adjunct professor in the Computer Department at Stanford, teaching the lesson of “CS121: Introduction to AI”. Before joining the NEC American Institute, he worked as a senior research scientist at the Neural Computing Laboratory at Siemens Germany. He received his B.Sc and M.Sc degree from Nanjing University and his Ph.D. degree from University of Munich.