When in the middle of spring, Yang and Fangqi. The Heart of Machines "AI Technology Annual Conference" will be held on March 23.
The event was divided into three forums: the Artificial Intelligence Forum, the AI x Science Forum, and the Chief Chi Heng Executive Conference. Due to the epidemic, the "Artificial Intelligence Forum" and "AI x Science Forum" have been converted to online live broadcasts, and the "Chief Intellectual Officer Conference" is still held offline in Beijing.
"Artificial Intelligence Forum" live broadcast address: http://live.bilibili.com/3519835
"AI x Science Forum" live broadcast address: http://live.bilibili.com/24531944
Offline registration address of "Chief Intellectual Officer Conference": http://hdxu.cn/OhLhI
Artificial Intelligence Forum (Online)
At the Artificial Intelligence Forum, based on the tracking and observation of artificial intelligence in recent years, as well as the judgment and prediction of the present and future, we will fully exchange ideas on several topics such as artificial intelligence and high-performance computing, federated learning, trusted AI, CV and NLP development, and the landing and application of artificial intelligence technology.
At present, the guest lineup and speech themes of the Artificial Intelligence Forum are as follows:
FABS: A computing model that integrates artificial intelligence, big data, and scientific computing
Guest Profile: Zheng Weimin, Academician of Chinese Academy of Engineering, Professor of Department of Computer Science, Tsinghua University. He has long been engaged in high-performance computer architecture, parallel algorithms and systems research. In the field of high-performance storage systems, he proposes a scalable storage system structure and a lightweight parallel expansion mechanism, develops the theory and method of storage system scalability, takes the lead in developing a domestic network storage system with independent intellectual property rights, proposes a lightweight coding method with high fault tolerance and deletion and a data rapid self-healing model, and expands the technical ideas of storage reliability. In the field of high-performance computer architecture, it is the first to develop and successfully apply the cluster architecture high-performance computer in China. In terms of massively parallel algorithms and applications, the extremely large-scale weather forecasting application developed on the domestic Sunway Taihu Lake Light won the Gordon Bell Award of ACM in computational scalability. He has won 1 first prize of national scientific and technological progress, 2 second prizes, 1 second prize of national technological invention, He Liang HeLi science and technology progress award, and won the first China Storage Lifetime Achievement Award.
Abstract: In recent years, intelligent computing is accelerating its integration with traditional scientific computing, and has made remarkable progress in protein structure prediction, weather forecasting, and molecular dynamics. Both AI and scientific computing rely on data processing, but existing intelligent + scientific computing (AI-HPC) systems mainly use the programming mode of MPI+X to express the complexity of data processing tasks, while adding a data processing system such as Spark or Pandas faces challenges in terms of system complexity, performance or cost. More importantly, MPI+X is very fault-tolerant, relies on global checkpointing and recalculation techniques, and when the system scales to E-level and post-E-level, the average failure-free time of the whole machine is only a few hours, which poses a major challenge to the effective use of the machine. We propose a computational model that integrates artificial intelligence, scientific computing and big data processing (FABS: Fused AI, Big Data and Science), through unified tensor abstraction and compilation optimization techniques, while providing easy-to-program, highly available, and high-performance programming models and computing models for these three fields, which will provide important tools for the development of large-scale AI+Science.
Trusted Federated Learning
Speaker Profile: Qiang Yang, Academician of the Canadian Academy of Engineering and the Royal Canadian Academy of Sciences, Chief Artificial Intelligence Officer of WeBank, Chair Professor and Former Head of the Department of Computer and Engineering, The Hong Kong University of Science and Technology, Chairman of the AAAI-2021 Conference, Former Chairman of the Board of Directors of the International Federation of Artificial Intelligence (IJCAI), Chairman of the Hong Kong Society of Artificial Intelligence and Robotics (HKSAIR), Chairman of the Intelligent Investment Research Technology Alliance (ITL), ACM TIST and IEEE TRANS on BIG DATA Founding Editor-in-Chief, CAAI, AAAI, ACM, IEEE, AAAS and other international societies Fellow. He is the leader of global transfer learning and federated learning research and applications, and his books include "Transfer Learning", "Federated Learning" and "Federated Learning Practice".
Abstract: Federated learning is an important intersection of artificial intelligence and privacy computing, and how to make federated learning more secure, trustworthy and efficient is the focus of industry and academia in the future. In my presentation, I will systematically review the progress and challenges of federated learning and look ahead to several important development directions.
The application of artificial intelligence in speech language, financial investment, online education and health care
Guest Profile: Deng Li, graduated from the University of Science and Technology of China with a bachelor's degree and received his master's and doctoral degrees from the University of Wisconsin-Madison. In 2009, Deng Li collaborated with Geoffrey Hinton to propose and apply deep neural networks to large-scale language recognition for the first time, which significantly improved the recognition rate of speech by machines and greatly promoted the development and progress of human-computer interaction. He has received more than 70 U.S. or international patents in acoustics/audio, speech/language technologies, large-scale natural language and enterprise, Internet data analytics, and machine learning for deep learning. In 2019, Deng Li was elected a fellow of the National Academy of Engineering of Canada and a fellow of the Washington State Academy of Sciences. He has served as Citadel's Chief Artificial Intelligence Officer since May 2017. He spent 17 years at Microsoft (2000-2017) as Chief Scientist of Artificial Intelligence and founder of the Deep Learning Technology Center. Previously, he was an Assistant Professor, Tenured Associate Professor and Full Professor (1989-1999) at the University of Waterloo, Canada, and held teaching/research positions at the Massachusetts Institute of Technology (USA, 1992-93), ATR (Kyoto, Japan, 1997-98) and the Hong Kong University of Science and Technology. He is an IEEE Fellow (2004), a Fellow of the Society of Acoustics of America (1993), and a Fellow of isca (2011). Since 2000, Dr. Deng has held a professorship at the University of Washington in Seattle.
An age of innovation for cognitive intelligence
Guest Profile: Zhou Ming, Chief Scientist of Innovation Factory, Founder of Lanzhou Technology, Former Chairman of ACL, Vice Chairman of CCF. He graduated from Hitachi University of Technology in 1991 and taught at Tsinghua University for many years. Long-term leader of Microsoft Research Asia NLP research. In 2021, lanzhou technology was founded. He has won the World Internet Leading Technology Award and the first prize of beijing HICOOL Innovation Competition.
Abstract: AI is moving from perceptual intelligence to cognitive intelligence, but also faces many challenges such as theory and practice. I will introduce Lanzhou Technology's next-generation cognitive services engine plan, including lightweight pre-training models and progress in natural language understanding and generation, and share views on its future trends and commercial landing.
Topic to be determined
Profile: Jingyi Yu, Vice Provost of ShanghaiTech University, Executive Dean of School of Information. Dr. Jingyi Yu received her Ph.D. in Computer and Electrical Engineering from the Massachusetts Institute of Technology in 2005. Prior to joining ShanghaiTech University, he was a full professor in the Department of Computer and Information Science at the University of Delaware. He has been engaged in research in the fields of computer vision, computational imaging, computer graphics, bioinformatics and other fields for a long time, and has published more than 120 academic papers, obtained more than 20 invention patents in the United States, and won the Outstanding Youth Award of the National Science Foundation of the United States and the Outstanding Youth Award of the United States Air Force Research Institute in 2009 and 2010, respectively. He is an editorial board member of IEEE TPAMI, IEEE TIP, and Elsevier CVIU, and serves as The Conference Program Chair for ICPR 2020, IEEE CVPR 2021, IEEE WACV 2021, and ICCV 2025. For his contributions to computer vision and computational imaging, he was elected an IEEE Fellow.
Bring reinforcement learning superhuman decision-making capabilities to reality
Guest Profile: Yu Yang, Professor of School of Artificial Intelligence, Nanjing University, founder of Nanqi Xian Ce. He has long been engaged in basic research and application of machine learning and reinforcement learning. He was selected as one of the IEEE 'Top Ten Rising Stars in International Artificial Intelligence', won the CCF-IEEE Young Scientist Award, the first Asia-Pacific Data Mining "Young Achievement Award", and was invited to give an "Early Career Spotlight Report" at the International Joint Conference on Artificial Intelligence at IJCAI'18. He has won 4 international paper awards and 3 international algorithm competitions.
Speech Abstract: Reinforcement learning technology has achieved universal decision-making ability beyond humans in tasks such as Go and games, and we are very much looking forward to reinforcement learning also being implemented in real-world applications, so that we have strong decision-making ability. One of the obstacles to achieving this goal is that existing reinforcement learning techniques lack the imagination of humans in general, and can only find optimal decisions from a large number of trial and error, and the game just happens to provide a large number of trial and error possibilities. The report will cover our work in the direction of making reinforcement learning imaginative, and the application of reinforcement learning in real-world business.
The practice and exploration of trusted AI in intelligent finance
Guest Profile: Zhou Jun, head of the Financial Machine Intelligence Department of Ant Group, has built core technologies such as graph learning and privacy protection, published more than 50 papers in top AI journals such as NeurIPS, led the team to rank first in a number of international algorithm evaluations, and won a number of provincial and ministerial science and technology awards for related achievements.
Abstract: Artificial intelligence has been rapidly developed and applied, but it has also exposed many weak links, and trusted AI is the most potential solution. The presentation will explain how the technology concept based on trusted AI can help applications in specific financial areas such as risk management, and explore the future of trusted AI.
The application practice of AI in the manufacturing industry
Guest Profile: Zhang Faen, CTO and co-founder of Innovative Qizhi. He has more than ten years of experience in technology research and development and management in the IT industry, involving enterprise-level software, indoor map positioning and navigation, Internet search engine, all-domain knowledge graph, big data analysis and storage, machine learning, deep learning and many other fields. During his work, he obtained more than 10 US patents and more than 30 Chinese patents. Zhang Faen graduated from the Institute of Software, Chinese Academy of Sciences with a master's degree in computer software and theory. He has served as the chief R&D architect of Baidu, the chairman of the technical committee of Baidu Cloud Computing Division, the chief architect of big data and artificial intelligence of Baidu Cloud Computing Division, and has also held R&D positions at Google and Microsoft.
Guest Profile: Wei Yichen, an expert in the field of computer vision, Google papers cited more than 18,000 times, H-index 44. He is currently the vice president of R&D of Shukun Technology, leading the team to conduct research and development of medical imaging AI products. Previously, he was the president of Megvii Technology Shanghai Research Institute, participating in the research and development of security, retail and logistics. During his time at Microsoft Research Asia, he participated in the development of several microsoft core products.
More guests and schedules of the Artificial Intelligence Forum are still being updated, so stay tuned.
AI x Science Forum (Online)
Since the beginning of last year, The Heart of the Machine has focused on the intersection research and integration of artificial intelligence and basic disciplines and other cutting-edge technologies, and launched the corresponding media brand "ScienceAI", which has been recognized by many practitioners in the field of AI intersection research. At this annual meeting, we will host the "AI x Science" forum, which will focus on the intersection of artificial intelligence and proteins, biocomputing, mathematics, physics, chemistry, new materials and neuroscience, as well as representative startups in these emerging fields.
At present, the ai x Science forum guest lineup and speech topics are as follows:
Guest Profile: Xu Jinbo, Professor of Toyota Institute of Computing Technology in Chicago, graduated from the Department of Computer Science of the University of Science and Technology of China, the Institute of Computing Technology of the Chinese Academy of Sciences and the University of Waterloo in Canada, and engaged in postdoctoral research in the Department of Mathematics and Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Research interests include artificial intelligence and machine learning, optimization algorithms, and computational biology. Honors include the Sloan Research Award, the Natural Science Foundation of America Early Career Award, the PLoS Computational Biology Innovation Breakthrough Award, the RECOMB Best Paper Award and the Time Test Award at the Top International Conference on Computational Biology. He is also a member of the editorial boards of the peer-reviewed journal Bioinformatics and the Journal of Computational Biology, and a special guest at the Nobel Forum in Sweden in 2022.
Guest Profile: Guo Tiannan, Distinguished Researcher and Doctoral Supervisor of Westlake University, Founder of Westlake Omey. In 2006, he graduated from Tongji Medical College of Huazhong University of Science and Technology with a seven-year degree in clinical medicine and obtained a double degree in biological sciences from Wuhan University. Ph.D. from Nanyang Technological University, Singapore, 2012. From 2012 to 2017, he was a postdoctoral researcher in the laboratory of Professor Ruedi Aebersold at the Swiss Federal University of Technology in Zurich. In early 2017, he served as Scientific Director, Oncology Proteome Group Leader, and adjunct Senior Lecturer at the University of Sydney School of Medicine at ProCan, University of Sydney, Australia. In August 2017, he joined the Westlake Institute for Advanced Study as a Distinguished Researcher. He has been engaged in proteomics-related research for a long time and applied it to a large number of clinical samples (including thyroid cancer, prostate cancer, etc.), combined with artificial intelligence to explore biomarkers.
AI-assisted synthetic route design helps improve the efficiency of innovative drug research and development
Guest Profile: Xia Ning, Founder, Chairman and CEO of Zhihua Technology, Ph.D. in Organic Chemistry of the French Academy of Sciences (CNRS), Chemistry/Computer Background. He worked at bayer CropScience's Lyon Research Center and L'Oréal Paris' In-Depth R&D Center. After graduating with a Ph.D., he co-founded eNovalys in France as CTO, responsible for the research and development of chemical informatics product design, and independently developed a number of core technologies. In 2015, he returned to China to join Shanghai Net Chemical Technology as the director of chemical information. In 2018, he founded Wuhan Zhihua Technology and served as CEO. He has been deeply engaged in the field of chemical informatics for many years and has mastered a number of core technologies.
Abstract: New drug research and development faces huge pain points of high cost, long time and low success rate. AI big data-assisted synthesis route design can optimize the synthesis route in the molecular synthesis stage, improve the success rate of the route, and accelerate the design-synthesis-test cycle, becoming an important tool for medicinal chemists, helping to improve the efficiency of new drug research and development, and making it possible to automate chemical synthesis in the future.
Paddle Helix Empowers Biomedicine: The Exploration and Application of AI Technology in Drug Discovery
Guest Profile: He Jingzhou, Technical Director of Natural Language Processing Department of Baidu Shenzhen R&D Center, Head of Propeller Paddle Helix Biocomputing Platform. Graduated from the Department of Computer Science of Peking University, He Jingzhou has more than 10 years of experience in the research and development and management of artificial intelligence technology, the main research areas include natural language processing, machine learning, biological computing, intelligent robots, etc., leading the team to win more than ten international competitions and authoritative list champions, and winning Baidu's highest award four times. He Jingzhou is the inventor of more than 200 AI patents, has won the China Patent Excellence Award, and has been employed as a technical expert in Chinese patent examination. He is also a multilingual committee member of the Chinese Society for Intelligence in Industry (CAAI), a member of the Hong Kong Society for Artificial Intelligence and Robotics (HKSAIR), and a member of the Youth Working Committee of the Chinese Information Society (CIPS).
Abstract: Systematic introduction to the propeller Paddle Helix empowers the work in the field of biomedicine. Including work and recent progress in compound characterization and compound property prediction, ADMET druggability prediction, virtual screening, protein characterization, vaccine design, etc.
AI+ metal materials: more suitable for the direction of industrial landing
Guest Profile: Wang Xuanze, founder and CEO of Creative Materials, was sent to Shanghai Jiao Tong University for computer and physics competitions and obtained a master's degree. Senior AI algorithm engineer and serial entrepreneur, dedicated to using artificial intelligence to accelerate the research and development of new materials.
Speech Abstract: High-end metal materials are an often overlooked market, with industrial upgrading and strategic transformation, the demand for localization substitution is rapidly amplified. The main difficulty in the field of high-end metals lies in the long research and development cycle and excessive research and development investment, so the research and development of new materials using AI empowerment has become the optimal solution for overtaking in curves.
Profiles: Xiao'an Wang, Founder and CEO of Brainland Technology, Master of Data Science from Harvard University, Dual Degree in Industrial Engineering and Business from the University of California, Berkeley, "Forbes Asia 30under30", "Fast Company" Innovation 100 people. Former executive of Fortune 500 group, senior data analyst at Yahoo's Silicon Valley headquarters and Deloitte in San Francisco. In 2018, he founded Brainland Technology and served as CEO, focusing on brain science and brain-computer interaction technology, products and services have been applied to health, medical, entertainment, safety and other industries, national high-tech enterprises, committed to serving the society with brain-computer technology.
GNN for Science: Graph Mechanics Networks
Guest Profile: Huang Wenbing, currently an assistant professor at the Intelligent Industry Research Institute (AIR) of Tsinghua University, graduated from the Department of Computer Science of Tsinghua University. His main research interests are graph neural networks and graph model theoretical methods and their applications in the representation and decision-making of physical systems, intelligent chemical drug discovery and other tasks. He has published more than 30 papers in CCF-A international conferences or journals such as NeurIPS, CVPR, etc. He was selected as "Mizuki Scholar" of Tsinghua University, "Hornbill Bird Visiting Scholar" of Tencent, and "Cast Star Program" of Microsoft Asian Research Institute. He has won the International Conference IROS Robot Competition Champion, Tencent Hornbill Bird Special Research Excellence Award, NeurIPS Outstanding Reviewer, AAAI Top SPC and other awards.
Abstract: The N-body problem is the basic problem of physics, and the movement of electrons around atomic nuclei, molecular dynamics simulation, dynamic control of mechanical systems, trajectory prediction of cosmic celestial bodies, etc., can be expressed as multibody problems. For the multibody problem, this report will introduce a new graph neural network recently proposed by the author, graph mechanics network GMN, which integrates the laws of physics into the construction of graph neural networks, and initially explores the advantages of data-driven and knowledge-driven combination.
More guests and schedules at the AI x Science Forum are still being updated, so stay tuned.
Chief Chi Heng Conference (Offline)
Smart cars are our third strategic direction, and our media brand Auto Byte has been in operation for more than a year. As the name suggests, the "Chief Intellectual Officer Conference" will invite leaders in the field of smart mobility, who will come from the most popular fields of smart cars, vehicle-grade chips, Robotaxi and unmanned logistics, covering a number of cutting-edge directions such as "automotive robots", "automotive chip prospects in the era of large computing power", "driverless commercialization" and so on.
Time: March 23, 13:30-17:00
Address: Hyatt Regency Beijing Wangjing
At present, the guest lineup and speech themes of the Chief Intellectual Officer Conference are as follows:
Automotive robots open the era of intelligent car 3.0
Guest Profile: Joe Xia, current CEO of Jidu, Honorary Doctor of Telecommunications and Information Systems of the University of Essex, former head of Fiat Chrysler Asia Pacific Intelligent Vehicle Association Division, co-founder and chief technology officer of Mobike, with more than 20 inventions, utility models and software copyright patents at home and abroad. In 2017, he was named 20th on Fortune Magazine's Global 40 Under 40 Business Elite List.
Speech Summary: What is a Car Robot? How to build a car robot? When will the era of automotive robots arrive? Jidu CEO Xia Yiping will tell the story of technology companies building cars, the development process of automotive robots, and share the difference between car robots and car manufacturing in the smart car 3.0 era from the perspective of the chief intellectual officer.
Guest Profile: Gu Weihao, co-founder and CEO of Zhixing, graduated from Beijing Jiaotong University majoring in computer application technology. Before starting a business, Gu Weihao successively served as the deputy general manager of Baidu Map, the general manager of Baidu Intelligent Automobile Division and other positions, leading the team to develop and mass-produce autonomous driving maps and low-cost solutions for high-speed assisted autonomous driving for the first time in China. At present, Zhixing is the first mass-produced autonomous driving unicorn in China, creating China's first data intelligence system MANA.
Bicycle intelligent breakthrough, cloud-edge end vehicle collaboration
Guest Profile: Wang Ping, CEO of Cambrian Xingge, Bachelor's degree from University of Science and Technology of China and Master's degree from Tsinghua University. He joined McKinsey in 2004 and has worked for McKinsey & Company Germany and China. Elected Global Managing Partner of McKinsey in 2011, he was responsible for McKinsey's automotive consulting practice in Greater China from 2015 to 2020. Wang Ping has long served a number of leading international and domestic auto companies, committed to promoting the electrification, intelligence and digital transformation of automotive enterprises, and is also one of the earliest experts proposed and promoted the electrification of the automotive industry by McKinsey.
Speech Summary:
The development trend of autonomous driving and the challenge of bicycle intelligence
Cloud-edge end car collaboration accelerates the development of the industry
Appeals and initiatives for the healthy development of domestic SOCs
Decode the true commercialization of Robotaxi in China
Guest Profile: Jianxiong Xiao, Founder and CEO of AutoX, Ph.D. in Computer science and Artificial Intelligence at MIT, former professor of computer science at Princeton University, founded the Computer Vision and Robotics Lab at Princeton University. In 2016, Xiao Jianxiong founded AutoX, and so far has 5 major R&D centers, 10 operation centers, 1 Robotaxi gigafactory, a RobotTaxi fleet of more than 1,000 vehicles, and more than 1,000 square kilometers of autonomous driving domains in the world.
Speech Summary: China's Robotaxi has come to the eve of the real commercialization of unmanned driving. At present, there are many different development routes in the industry, including progressive assisted driving, park minibus logistics, etc. AutoX Istu is China's largest self-driving company and the only one focused on fully driverless Robotaxi. We firmly believe that large-scale completely unmanned driving is the right way to truly commercialize autonomous driving, RoboTaxi's technology and products are quite complex, and only large-scale investment and extreme focus can create a truly unmanned Robotaxi. Our mission is to democratize autonomous driving, focusing on creating truly driverless cars and accelerating the world's transition to fully autonomous mobility.
The quality and quantity of intelligent driving data
Profile: Li Bo, Ph.D. in Information Processing, Tokyo Institute of Technology, Head of Autonomous Driving Business Line of Wuhan Lotus Technology Co., Ltd., Executive Director of Shanghai Lotus Software Technology Co., Ltd. Prior to joining Lotus, Li Bo worked for Geely Automobile, Honda Technical Research Institute, and Alibaba Damo Academy. During his tenure as the director of the Intelligent Driving Development Center of Geely Automobile Research Institute, Li Bo led the team to complete GPILOT 1.0 and GPILOT 2.0 intelligent driving products, ensuring Geely Group's leading position in China's intelligent driving technology.
Themed Roundtable: Chip Challenges in the Age of Large Computing Power
Guests:
Wang Ping, Ceo of Cambrian Xingge;
Yang Yuxin, Bachelor of Precision Instruments, Tsinghua University, Chief Marketing Officer of Black Sesame Intelligence, is responsible for the company's business development, marketing promotion, ecological cooperation and other aspects. Prior to joining Black Sesame Intelligence, Yang Yuxin served as a director and vice president of Zhongke Chuangda, chairman and CEO of Anchuang Accelerator, and also worked in marketing, sales, and industry research in Nufront Technology, ARM, BDA Consulting and Panasonic.
Theme Roundtable: How is autonomous driving commercialization maturing?
Xin Zhou, co-founder and chief product officer of Yishi Technology, focuses on the development of complete product solutions for autonomous driving. Before founding, he was the director of the Big Data Lab at Intel Research China, the chief architect of The China-Intel Institute for The Internet of Things, and had long focused on high-performance parallel computing architecture, platform, and programming technology, and was a senior architect in the Xeon Phi architecture group and compiler group. He is also a member of the Communication Committee of the Big Data Expert Committee of the Chinese Computer Society.
Hao Jiannan, co-founder and chief architect of Tucson Future, co-founded Tucson Future with partners in 2015. Receiving his PhD from Nanyang Technological University in Singapore, Hao has over 10 years of experience in parallel and distributed computing research and was a former Researcher at Temasek National Laboratory.
Jian Dong, Ph.D. of Victoria University, Canada, co-founder of Hongjing Intelligent Driving, software algorithm VP. Prior to founding Hongjing Intelligent Driving, Dong Jian worked for a well-known North American automotive consulting company and automaker, responsible for the research and development of driverless system algorithms and mass production ADAS software development.
Dai Zhen, Vice President of Heduo Technology, Ph.D. of the University of Siegen in Germany, mainly research directions for satellite positioning and navigation, once developed the world's first car navigation system based on NDS maps for Daimler AG. After joining Heduo Technology, he was responsible for the research and development and technical management of high-precision maps and simulators, and then served as the person in charge of the verification platform, responsible for the closed loop and test verification of automatic driving data