On October 8, the Nobel Prize in Physics was awarded to John J. Hopfield from Princeton University and Geoffrey E. Hinton from the University of Toronto.10月8日,诺贝尔物理学奖授予了普林斯顿大学的约翰·霍普菲尔德和多伦多大学的杰弗里·辛顿。
This recognition is for their groundbreaking discoveries and inventions in machine learning through artificial neural networks.这一荣誉是为了表彰他们通过人工神经网络在机器学习方面的突破性发现和发明。
The Royal Swedish Academy of Sciences stated that both laureates used physics-based tools to create foundational methods for machine learning.瑞典皇家科学院表示,两位获奖者利用物理工具为机器学习创建了基础性方法。
Hopfield's work enabled structures that store and reconstruct information, while Hinton developed techniques for data to autonomously identify properties.霍普菲尔德的工作创建了可以存储和重建信息的结构,而辛顿发明了能够自主发现数据属性的方法。
These advancements have been crucial to the widespread use of large-scale artificial neural networks today.这些进展对于如今广泛使用的大规模人工神经网络至关重要。
Machine learning based on neural networks is revolutionizing science, engineering, and everyday life.基于神经网络的机器学习正在改变科学、工程和日常生活。