The winners of the 2023 Future Science Awards include both the post-40s and post-90s generations. The million dollar prize has been announced by He Kaiming | Science Award | Grand Prize

Release time:Apr 14, 2024 22:03 PM

On August 16th, 2023, the Future Science Award was announced. Chai Jijie and Zhou Jianmin were awarded the "Life Science Award" for their pioneering work in discovering disease resistant bodies and elucidating their structure and function in resisting plant diseases and pests; Zhao Zhongxian and Chen Xianhui were awarded the Material Science Award for their groundbreaking discoveries in high-temperature superconducting materials and systematic improvements in transition temperatures; He Kaiming, Sun Jian, Ren Shaoqing, and Zhang Xiangyu made fundamental contributions to artificial intelligence by proposing deep residual learning and were awarded the Mathematics and Computer Science Award.

Up to 40% of global crop yields are lost due to plant diseases and pests, causing over 300 billion US dollars in annual losses to the global economy. Chai Jijie and Zhou Jianmin discovered that the disease resistant body is a multi-component complex formed by immune receptor proteins after recognizing pathogen effectors. They also found that this complex triggers plant immune responses by forming calcium ion channels, thereby protecting plants from infection. This discovery will lead to better plant disease control methods and is of great significance for global food security.

"Our cooperation has lasted for nearly 20 years, with high yield and pleasure." Chai Jijie, a professor of plant immunology at West Lake University, and Zhou Jianmin, a researcher at the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences, said in the live connection that the honor was an incentive for many teams, and mentioned the names of many graduate students and long-term partners. "We don't spend much time with our family, which is also their honor."

Superconductors, as a quantum material, have unique zero resistance and complete diamagnetic properties, and have great application prospects in fields such as energy, information, medical, transportation, and electricity. The transition temperature for traditional superconducting materials to reach the superconducting state is very low, and the emergence of high-temperature superconducting materials greatly increases the temperature range within which superconducting phenomena can exist. The team led by Zhao Zhongxian, a researcher at the Institute of Physics of the Chinese Academy of Sciences, independently discovered the first superconducting material at liquid nitrogen temperature. Chen Xianhui led the team to first raise the superconducting transition temperature above the McMillan limit, proving that iron-based superconductors are indeed unconventional high-temperature superconductors.

Zhao Zhongxian, born in the 1940s, said during an on-site interview that this award reminded him of his colleagues who were the first to explore high-temperature superconductivity research with him in the 1970s. "The field of superconductivity is full of challenges and hope, waiting for young scientists to discover. In the future, I will be a 'paving stone' for them." Chen Xianhui also sighed, "Room temperature superconductors have always been our dream. Now that China has accumulated experimental conditions and talent, I believe there will be more discoveries in this field."

As deep neural networks deepen, we can train a system to learn more complex concepts and induce more data, which is the core idea of deep learning. But with the deepening of neural networks, people have encountered the problem of "degradation": deeper networks will exhibit poorer accuracy, and degradation has become the main obstacle to the deep learning revolution. He Kaiming, Sun Jian, Ren Shaoqing, and Zhang Xiangyu proposed a deep residual learning framework to solve this problem, enabling neural networks to reach unprecedented depths and acquire previously difficult to achieve capabilities, leading to multiple breakthrough achievements including AlphaGo, AlphaFold, and ChatGPT. This award-winning work was completed by the four winners in Microsoft Research Asia in Beijing from 2012 to 2016.

"When I learned about the award, I had just started swimming and my hair was wet." During the live call, He Kaiming expressed special gratitude for the recognition of young people by the Future Science Award. Ren Shaoqing expressed that he is fortunate to live in such a big era and have many opportunities. Zhang Xiangyu, born in the 1990s, couldn't believe that he could win the Future Science Award at such a young age, and hung up the organizer's phone several times. The three young people are very grateful to the late Sun Jian teacher, "Always remember his teachings, continue to innovate, and expand human boundaries."

The Future Science Award was established in 2016 and is a folk science award jointly initiated by scientists and entrepreneurs. Award winning work must simultaneously meet the following conditions: generate significant international influence; Originality, long-term importance, or time tested; Mainly completed in mainland China, Hong Kong, Macau, and Taiwan, with no restrictions on the nationality of the completed individuals. The awards are nominated through targeted invitations and are professionally evaluated by a scientific committee composed of outstanding scientists.

Related links: Previous winners

Life Science Award

Lu Yuming, Shi Yigong, Li Jiayang, Yuan Longping, Zhang Qifa, Shaofeng, Zhang Tingdong, Wang Zhenyi, Yuan Guoyong, Pei Weishi, Li Wenhui

Material Science Award

Xue Qikun, Pan Jianwei, Ma Dawei, Feng Xiaoming, Zhou Qilin, Wang Yifang, Lu Jinbiao, Lu Ke, Zhang Jie, Yang Xueming

Mathematics and Computer Science Award

Xu Chenyang, Lin Benjian, Wang Xiaoyun, Peng Shige, Shi Min, Mo Yiming

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