AI Godfather Geoffrey Hinton Wins Nobel Prize For Artificial Intelligence Work: 'Work Has Already Been Of The Greatest Benefit'
AI Godfather Geoffrey Hinton Wins Nobel Prize For Artificial Intelligence Work: 'Work Has Already Been Of The Greatest Benefit'
Hinton, currently a professor at the University of Toronto, developed an algorithm that helps neural networks learn from their mistakes. His work helped transform how today's AI models are trained to operate.Geoffrey Hinton, known as the "Godfather of AI," won a Nobel Prize in Physics for his work in artificial intelligence.
被称为 “人工智能教父” 的杰弗里·欣顿因其在人工智能方面的工作而获得诺贝尔物理学奖。
What Happened: Hinton and Princeton professor John Hopfield are the joint winners of the Nobel Prize in Physics for 2024 thanks to their early work in AI and deep learning dating back to the 1970s and 1980s.
发生了什么：欣顿和普林斯顿大学教授约翰·霍普菲尔德共同获得了2024年诺贝尔物理学奖，这要归功于他们在人工智能和深度学习领域的早期工作，其历史可以追溯到1970年代和1980年代。
The awards, announced by the Royal Swedish Academy of Sciences, say both Hinton and Hopfield helped with "foundational discoveries and inventions that enable machine learnings with artificial neural networks," as reported by TechCrunch.
据TechCrunch报道，瑞典皇家科学院宣布的这些奖项说，欣顿和霍普菲尔德都帮助了 “通过人工神经网络进行机器学习的基础发现和发明”。
Hinton, currently a professor at the University of Toronto, developed an algorithm that helps neural networks learn from their mistakes. His work helped transform how today's AI models are trained to operate.
现任多伦多大学教授的欣顿开发了一种算法，可以帮助神经网络从错误中吸取教训。他的工作帮助改变了当今人工智能模型的操作训练方式。
The recognition of Hinton and Hopfield as Nobel Prize winners could strengthen AI's position as a growth sector moving forward.
认可欣顿和霍普菲尔德为诺贝尔奖获得者可能会巩固人工智能作为未来增长领域的地位。
Read Also: Terminator In Real Life? AI 'Godfather' Warns Of Human 'Wipe Out' In 5 To 20 Years
另请阅读：现实生活中的终结者？人工智能 “教父” 警告人类将在5到20年内被 “消灭”
As winners of the Nobel Prize, Hinton and Hopfield will be referred to as "laureates" and receive gold medals, diplomas, and split a cash prize of around $1 million.
作为诺贝尔奖的获得者，欣顿和霍普菲尔德将被称为 “获奖者”，他们将获得金牌、文凭并分配约100万美元的现金奖励。
"The laureates' work has already been of the greatest benefit," Nobel Committee for Physics chair Ellen Moons said. "In physics, we use artificial neural networks in a vast range of areas, such as developing new materials with specific properties."
诺贝尔物理学委员会主席艾伦·穆恩斯说：“获奖者的工作已经带来了最大的好处。”“在物理学中，我们在广泛领域使用人工神经网络，例如开发具有特定特性的新材料。”
Why It's Important: With his early learnings and development in the space, Hinton is often considered one of the top voices in AI and deep learning.
为何重要：凭借他在该领域的早期学习和发展，Hinton 通常被认为是人工智能和深度学习领域的头号人物之一。
Hinton's company DNNresearch was acquired by Google, a unit of Alphabet Inc (NASDAQ:GOOG)(NASDAQ:GOOGL) in 2013. After joining Google as part of the acquisition, Hinton quit the technology giant last year.
2013年，欣顿的公司DNNResearch被谷歌收购，谷歌是Alphabet Inc（纳斯达克股票代码：GOOG）（纳斯达克股票代码：GOOG）的子公司。作为收购的一部分加入谷歌后，欣顿去年退出了这家科技巨头。
Hinton publicly voices concerns about the inherent risks of AI technology and the spreading of misinformation.
欣顿公开对人工智能技术的固有风险和错误信息的传播表示担忧。
Hopfield developed the Hopfield network, which showed how neural networks can store patterns. Like Hinton, Hopfield's early work in the AI space is considered groundbreaking.
霍普菲尔德开发了霍普菲尔德网络，该网络展示了神经网络如何存储模式。像欣顿一样，霍普菲尔德在人工智能领域的早期工作被认为是开创性的。
- Geoffrey Hinton Says '50-50 Chance' AI Technology Will Get 'More Intelligent Than Us In The Next 20 Years'
- 杰弗里·欣顿说，在未来20年中，“50-50 几率” 的人工智能技术将 “比我们更智能”
Image: Vaughn Ridley/Collision via Sportsfile/Wikimedia Commons
图片：Vaughn Ridley/Collision via Sportsfile/维基共享资源
