English
中文剑桥大学校友荣获2024年诺贝尔化学奖
两位剑桥大学校友，德米斯·哈萨比斯爵士（Sir Demis Hassabis）和约翰·江珀博士（Dr John Jumper），因开发出的人工智能模型解决了一个困扰科学家们50年的难题：预测蛋白质的复杂结构，共同获得了今年的诺贝尔化学奖。
Two University alumni, Sir Demis Hassabis and Dr John Jumper, have been jointly awarded this year’s Nobel Prize in Chemistry for developing an AI model to solve a 50-year-old problem: predicting the complex structures of proteins.
2020年，谷歌DeepMind公司的哈萨比斯和江珀提出了名为AlphaFold2的AI模型。借助该模型，他们能够预测目前已知的几乎所有2亿种蛋白质的结构。自取得这一突破，已有来自190个国家超200万人使用过该技术。在众多科学应用中，研究人员现在可以更好地了解抗生素耐药性，并创建可分解塑料的酶的图像。
In 2020, Hassabis and Jumper of Google DeepMind presented an AI model called AlphaFold2. With its help, they have been able to predict the structure of virtually all the 200 million proteins that researchers have identified. Since their breakthrough, has been used by more than two million people from 190 countries. Among a myriad of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can decompose plastic.
两人与华盛顿大学的戴维·贝克教授（Professor David Baker）共同获得了诺贝尔奖，贝克教授于2003年成功利用氨基酸设计出一种新的蛋白质。
The duo received the Nobel along with Professor David Baker of the University of Washington, who succeeded in using amino acids to design a new protein in 2003.
德米斯·哈萨比斯爵士于1994年进入剑桥大学女王学院就读计算机科学本科课程。后来，他在伦敦大学学院获得认知神经科学博士学位，并创建了电子游戏公司Elixir Studios。
Sir Demis Hassabis read Computer Science as an undergraduate at Queens' College, Cambridge, matriculating in 1994. He went on to complete a PhD in cognitive neuroscience at University College London and create the videogame company Elixir Studios.
2010年，哈萨比斯与他人共同创立了DeepMind公司，这家公司为热门棋盘游戏开发了出色的AI模型。2014年，该公司被出售给谷歌。两年后，DeepMind获得了全球关注，当时该公司获得了公认的AI圣杯：击败了世界上最古老的棋盘游戏之一——围棋的世界冠军。
Hassabis co-founded DeepMind in 2010, a company that developed masterful AI models for popular boardgames. The company was sold to Google in 2014 and, two years later, DeepMind came to global attention when the company achieved what many then believed to be the holy grail of AI: beating the champion player of one of the world’s oldest boardgames, Go.
2014年，哈萨比斯当选为女王学院的院士捐赠人，随后又被授予荣誉院士称号。2024年，他因在人工智能领域做出的贡献被国王授予爵士称号。
In 2014, Hassabis was elected as a Fellow Benefactor and, later, as an Honorary Fellow of Queens' College. In 2024, he was knighted by the King for services to artificial intelligence.
2018年，在哈萨比斯公司的捐助下，剑桥大学宣布设立DeepMind机器学习讲席教授席位，并于次年任命尼尔·劳伦斯（Neil Lawrence）教授担任该职位。
In 2018, the University announced the establishment of a DeepMind Chair of Machine Learning, thanks to a benefaction from Hassabis’s company, and appointed Professor Neil Lawrence to the position the following year.
哈萨比斯在2018年表示：“我在剑桥大学读本科期间有很多快乐的回忆，所以现在DeepMind能够回馈计算机科学与技术系并为其他人提供学业支持，这让我十分荣幸。”
“I have many happy memories from my time as an undergraduate at Cambridge, so it’s now a real honour for DeepMind to be able to contribute back to the Department of Computer Science and Technology and support others through their studies,” said Hassabis in 2018.
“很高兴看到德米斯的工作得到最高级别的认可——他的贡献确实在许多领域都具有变革性。我期待看到他接下来会做什么！”计算机科学与技术系主任兼女王学院计算机科学Robin Walker研究员阿拉斯泰尔·贝雷斯福德（Alastair Beresford）教授说道。
“It is wonderful to see Demis’s work recognised at the highest level — his contributions have been really transformative across many domains. I’m looking forward to seeing what he does next!” said Professor Alastair Beresford, Head of the Department of Computer Science and Technology and Robin Walker Fellow in Computer Science at Queens' College.
诺贝尔奖委员会宣布获奖结果后，在谷歌DeepMind发表的一篇声明中，哈萨比斯表示：“我将毕生精力投入到推动人工智能发展上，因为人工智能具有无与伦比的潜力，可以改善数十亿人的生活……我希望，我们能回头认可AlphaFold作为人工智能在加速科学发现方面具有惊人潜力的首个有力证明。”
In a statement released by Google DeepMind following the announcement by the Nobel committee, Hassabis said: "I’ve dedicated my career to advancing AI because of its unparalleled potential to improve the lives of billions of people... I hope we'll look back on AlphaFold as the first proof point of AI's incredible potential to accelerate scientific discovery."
约翰·江珀博士于2011年在剑桥大学著名的卡文迪什实验室获得理论凝聚态物理学硕士学位，在此期间，他是圣埃德蒙学院的成员，之后又在芝加哥大学获得化学博士学位。
Dr John Jumper completed an MPhil in theoretical condensed matter physics at Cambridge's famous Cavendish Laboratory in 2011, during which time he was a member of St Edmund’s College, before going on to receive his PhD in Chemistry from the University of Chicago.
谷歌DeepMind公司总监江珀在公司发布的声明中表示：“长期以来，计算生物学一直有望创造可用于现实世界实验的实用见解。AlphaFold兑现了这一承诺。我们面前的是一个充满新见解和科学发现的世界，这是利用人工智能作为科学工具得以实现。”
"Computational biology has long held tremendous promise for creating practical insights that could be put to use in real-world experiments," said Jumper, Director of Google DeepMind, in a statement released by the company. "AlphaFold delivered on this promise. Ahead of us are a universe of new insights and scientific discoveries made possible by the use of AI as a scientific tool."
圣埃德蒙学院院长克里斯·杨教授表示：“圣埃德蒙学院全体成员和我一同祝贺我们的前硕士生约翰·江珀博士取得的这一辉煌成就，这是我们新一届学生在本周入学时可以树立的最鼓舞人心的榜样。”
“The whole of the St Edmund’s community joins me in congratulating our former Masters student Dr John Jumper on this illustrious achievement – the most inspiring example imaginable to our new generation of students as they go through their matriculation this week,” said St Edmund’s College Master, Professor Chris Young:
剑桥大学校长黛博拉·普伦蒂斯Deborah Prentice教授说道：
Professor Deborah Prentice, Vice-Chancellor of the University of Cambridge:
“我要祝贺德米斯·哈萨比斯和约翰·江珀，他们和昨天获奖的杰弗里·辛顿都是我们剑桥的校友。他们在机器学习开发和应用方面的开创性工作正在改变我们对周围世界的理解。他们加入了剑桥大学杰出的诺贝尔奖得主阵容——目前共有125人获奖——我们为此感到非常自豪。”
“I’d like to congratulate Demis Hassabis and John Jumper, who, alongside Geoffrey Hinton yesterday, are all alumni of our University. Together, their pioneering work in the development and application of machine learning is transforming our understanding of the world around us. They join an illustrious line-up of Cambridge people to have received Nobel Prizes – now totalling 125 individuals – for which we can be very proud.”
文章于2024年10月10日更新，以反映获得诺贝尔奖的剑桥人总数现已达到 125人。
Article updated on 10 October 2024 to reflect that the number of Cambridge people to have received Nobel Prizes now totals 125.
