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.
被稱爲"AI教父"的Geoffrey Hinton因其在人工智能領域的工作獲得了諾貝爾物理學獎。
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.
發生了什麼事：辛頓和普林斯頓大學教授約翰·霍普菲爾德因他們在人工智能和深度學習領域的早期工作，追溯到1970年代和1980年代，共同獲得了2024年諾貝爾物理學獎。
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.
由瑞典皇家科學院宣佈的獎項稱，辛頓和霍普菲爾德都幫助"發現和發明了利用人工神經網絡進行機器學習的基礎知識"，據TechCrunch報道。
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.
辛頓目前是多倫多大學的教授，他開發了一個算法，幫助神經網絡從自己的錯誤中學習。他的工作有助於改變當今AI模型的訓練方式。
The recognition of Hinton and Hopfield as Nobel Prize winners could strengthen AI's position as a growth sector moving forward.
對辛頓和霍普菲爾德被諾貝爾獎得主的認可，可能加強人工智能作爲未來增長板塊的地位。
Read Also: Terminator In Real Life? AI 'Godfather' Warns Of Human 'Wipe Out' In 5 To 20 Years
閱讀更多：現實中的終結者？AI"教父"警告稱人類可能在5到20年內被"消滅"
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.
作爲諾貝爾獎獲得者，辛頓和霍普菲爾德將被稱爲"獲獎者"，並獲得金牌、畢業證書，平均分得約100萬美元現金獎勵。
"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."
"諾貝爾物理學委員會主席埃倫·莫恩斯表示："獲獎者的工作已經帶來了極大的益處。在物理學中，我們在許多領域使用人工神經網絡，例如開發具有特定性能的新材料。"
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.
由於他在這一領域的早期學習和發展，Hinton經常被認爲是人工智能和深度學習領域中的頂尖人物之一。
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，Hinton的公司DNNresearch被谷歌旗下的alphabet inc（納斯達克:GOOG）（納斯達克:GOOGL）收購。加入谷歌後，Hinton作爲收購的一部分，於去年離開了這家技術巨頭。
Hinton publicly voices concerns about the inherent risks of AI technology and the spreading of misinformation.
Hinton公開表達對人工智能技術固有風險和信息傳播不實的擔憂。
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.
Hopfield開發了Hopfield網絡，展示了神經網絡如何存儲模式。與Hinton一樣，Hopfield在人工智能領域的早期工作被認爲具有開創性意義。
- Geoffrey Hinton Says '50-50 Chance' AI Technology Will Get 'More Intelligent Than Us In The Next 20 Years'
- Geoffrey Hinton表示，"人工智能技術在未來20年內變得比我們更聰明"的可能性是50-50。
Image: Vaughn Ridley/Collision via Sportsfile/Wikimedia Commons
圖片：Vaughn Ridley/Collision via Sportsfile/Wikimedia Commons
譯文內容由第三人軟體翻譯。