Focusing on computing-enabled innovation, the 3rd Intelligent Computing Innovation Forum was successfully held

What is the latest development status of new calculation methods?

What are the advanced technologies that can help realize intelligent computing systems?

How to use intelligent methods to assist computing system design, scheduling and theoretical research?

How to promote the wider application of intelligent computing software and hardware platforms in scientific research, industrial innovation and social development?

From October 19th to 20th, the third Intelligent Computing Innovation Forum, co-sponsored by Zhejiang Laboratory and Science/AAAS, was successfully held. Manuela Veloso, academician of the National Academy of Engineering and head of artificial intelligence research at JPMorgan Chase, Academicians and experts at home and abroad, including Zhang Tongyi, academician of the Chinese Academy of Sciences and chief scientist of computational materials at Zhejiang Laboratory, Professor Shi Luping, director of the Brain-inspired Computing Research Center of Tsinghua University, and professor Björn W. Schuller of Imperial College London, gave wonderful keynote reports and shared The latest research progress in the field of global intelligent computing.

"Computing is becoming more and more important. Except for electricity, we have not seen any technology that affects so many areas of human life. Technology can It frees people to do more and better things, inspires many unexpected ideas, and promotes innovation." Wang Jian, director of Zhijiang Laboratory and academician of the Chinese Academy of Engineering, said in the opening speech of the forum, "This is an exciting era. , is an era of 'out of box thinking', where everyone can take your ideas out of the computer box. Today's forum allows everyone to discuss computing face to face at Zhijiang Laboratory and explore the possibility of computing promoting innovation. Zhijiang and the industry are very important moments."

Manuela Veloso is the first keynote speaker of the forum. She focuses on research on artificial intelligence, human-machine symbiosis and autonomy, Continuous learning systems and the use of artificial intelligence in finance. Robot football games, artificial intelligence-assisted financial transaction decision-making, data standardization, and artificial intelligence-generated PPT documents. Manuela Veloso used a wealth of practical cases in the report to demonstrate the capabilities of artificial intelligence, novel ways of interaction between humans and artificial intelligence, and How to complement each other’s strengths in knowledge and learning. "As time goes by, artificial intelligence will continue to learn and perform more tasks, and humans will engage in more complex tasks. A society where humans and machines coexist will be the ultimate development direction." Manuela Veloso said.

Currently, we are in a highly digital world, which relies on the computer system based on the von Neumann architecture. With the development of artificial intelligence, this computer system is facing increasing challenges. Under the von Neumann architecture, current artificial intelligence is only good at solving deterministic problems with sufficient data and complete static knowledge. If these conditions are not met, existing computer systems will encounter problems. Shi Luping pointed out that brain-inspired computing (BIC) is considered one of the most promising new technologies in the post-Moore era and will provide us with a path to general artificial intelligence (AGI). In his report, Shi Luping introduced the current status of global brain-inspired computing research and the problems faced. He pointed out that the integration of computing and neuroscience-driven methods is the best way to develop brain-like computing, which also requires the coordinated development of theory, chips, software, systems, and applications.

AI for Science is in the ascendant, and how artificial intelligence empowers scientific research is also a hot topic around the world. In the keynote report, Academician Zhang Tongyi introduced the concepts of materials informatics and material GPT, and used the oxidation behavior of ferrite-martensitic steel in supercritical water and the behavior of iron-chromium-aluminum-cobalt-nickel-based high-entropy alloy at high temperatures. Oxidation behavior is a case study that demonstrates in detail how artificial intelligence software and hardware can make materials research more accurate and efficient.

"Computers can already simulate social skills and achieve 'empathy'. Are other things far behind?" Björn W.Schuller introduced the development status of affective computing to us in the report, and its impact on human emotions and audio Comprehensive analysis of multi-modal data such as video, text and physiological data demonstrates the application of emotion in machine learning from different perspectives.

In two days, focusing on artificial intelligence and computing technology, Danica Kragic, a professor at the Royal Institute of Technology in Sweden, Sylvain Gigan, a professor at the Sorbonne University in France, Peng Xin, a professor at Fudan University, and the University of Maryland, Baltimore County Associate Professor Cynthia Matuszek, Principal Investigator Leonardo Christov-Moore of the Institute for Advanced Consciousness in Santa Monica, California, Gao Fei, Permanent Associate Professor of Zhejiang University, Nicolas Heess, Research Scientist at Google DeepMind, and young scholars Wei Yixiong, Chen Hongyang, and Ma Dacheng from Zhejiang Laboratory They shared the latest progress in their respective research fields. During the roundtable discussion, Zhijiang Laboratory senior research experts Jiang Tianzai, Lin Feng, and Wu Xindong, research expert Yu Yu, and UCLA professor Aydogan Ozcan conducted in-depth discussions on technologies such as digital twin brains, knowledge maps, and ferroelectric chips. Science Robotics editor Amos Matsiko and Intelligent Computing journal editorial department executive editor Zhang Honggang gave two professional editorial lectures.

This is the third consecutive year that Zhijiang Laboratory has held the Intelligent Computing Innovation Forum, presenting an all-round presentation of global trends in intelligent computing-related fields. Frontier issues and research progress. "The development of science and technology has once again pushed computing to the core of innovation, and computing data models have become a new driving force for innovation." said Zhao Zhifeng, chief engineer of Zhijiang Laboratory. In this context, Zhijiang Laboratory has always been committed to using intelligence Computing empowers scientific discovery, integrating high-performance computing, dense data, and large models to build a powerful engine for scientific research. In the future, Zhijiang Laboratory will continue to practice the concept of open science, build an international communication platform, and explore more ways for intelligent computing to empower innovation.

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