This is the 5th scientist to receive the main Vinfuture Prize to be awarded the Nobel Prize, demonstrating the pioneering vision of the founders of the Vinfuture Prize - the first international science and technology prize initiated by Vietnamese people, affirming its mark in the international scientific community after only 4 years of operation.
Geoffrey Hinton is known as the "godfather of deep learning" for his enormous contributions to the fields of artificial intelligence and machine learning. (Photo: Reuters)
The contributions of Professor Geoffrey E. Hinton and four scientists: Yoshua Bengio, Jen-Hsun Huang, Yann LeCun and Fei-Fei Li to promote the progress of deep learning, have just been honored with the main prize worth 3 million USD (more than 76 billion VND) of VinFuture 2024.
The award committee recognized him for his leadership and foundational work on neural network architecture. His 1986 paper with David Rumelhart and Ronald Williams demonstrated distributed representations in neural networks trained using the backpropagation algorithm. This method became a standard tool in the field of artificial intelligence and led to advances in image and speech recognition.
Geoffrey E. Hinton was born on December 6, 1947 in Wimbledon, London, Hinton is a descendant of logician George Boole, who laid the foundations of digital circuit design theory.
One of Hinton's most notable predictions is that AI will soon be able to understand and produce natural language at a level that is on par with humans. This prediction is based on the rapid advancement of machine learning and reinforcement learning algorithms.
Another area of Hinton’s research is unsupervised learning, a type of machine learning in which algorithms learn from unlabeled data. Most AI systems today rely on supervised learning, in which algorithms are trained on large sets of labeled data. However, Hinton believes that unsupervised learning is key to making AI more closely mimic the way humans learn. He is developing new algorithms for unsupervised learning, aiming to create AI systems that can learn from their environment like a child.
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