Two eminent figures in artificial intelligence, John Hopfield and Geoffrey Hinton, were jointly awarded the Nobel Prize in Physics on Tuesday. This accolade acknowledges their exceptional contributions to the core elements of machine learning and underscores the significant global influence of AI technologies.

Hinton, often hailed as the "father of artificial intelligence," holds dual citizenship in Canada and the United Kingdom and currently serves as a professor at the University of Toronto. Meanwhile, Hopfield, an American national, teaches at Princeton University. The two scientists have garnered significant attention for their pioneering work in artificial neural networks, which has not only advanced scientific and medical fields but also fundamentally transformed our daily lives.

Mark Pearce, a member of the Nobel Physics Committee, stated during the award ceremony: "Hopfield and Hinton are true pioneers whose foundational work, rooted in a deep understanding of physics, has laid the groundwork for the revolution in machine learning and artificial intelligence."

Artificial neural networks are now extensively utilized in various domains such as facial recognition and language translation, becoming an integral part of our everyday lives. Ellen Moons, a member of the Nobel Committee at the Royal Swedish Academy of Sciences, also commended these advancements, noting that these technologies continue to drive scientific progress forward.

Upon receiving the award, Hinton remarked that artificial intelligence will eventually have a profound effect on civilization, particularly in areas such as productivity and healthcare. He predicted that this transformation would be comparable to the Industrial Revolution. However, he also candidly expressed concerns about the potential negative consequences of AI, especially the threat of technological uncontrollability.

The Nobel Committee has also highlighted concerns regarding the potential risks associated with AI technologies. Ellen Moons stressed that while these technologies offer immense benefits, their rapid development has raised apprehensions about the future. She advocated for humanity to responsibly utilize this new technology in a safe and ethical manner to benefit all of humankind.

Hinton expressed his astonishment upon learning of his win, revealing that he was staying in an inexpensive hotel without internet access at the time. He resigned from his position at Google to have greater freedom to discuss the potential dangers of the technologies he developed. Hopfield, on the other hand, has yet to make a public comment regarding the award.

Hinton's academic career is nothing short of legendary. In the 1980s, he contributed to the development of backpropagation algorithms, which are essential for machine learning systems to "learn" by fine-tuning errors. His team later triumphed in the renowned 2012 ImageNet competition using neural networks, a victory that propelled the rise of modern artificial intelligence. Furthermore, he was co-recipient of the 2019 Turing Award—the highest honor in computer science—alongside AI scientists Yoshua Bengio and Yann LeCun.

In his daily life, Hinton frequently utilizes machine learning technologies. He mentioned that whenever he seeks answers to any questions, he consults GPT-4. Although he doesn't fully trust it, he finds that it can provide highly useful responses to almost all his queries, even if they are not entirely accurate.

In accordance with the wishes of Alfred Nobel, the Swedish inventor and founder of the Nobel Prize, the Physics Prize carries a reward of 11 million Swedish Krona (approximately USD 1 million). Laureates are invited to attend the award ceremony on December 10, commemorating Nobel's passing. Subsequently, announcements for the Nobel Prizes will continue with the Chemistry Prize being revealed on Wednesday, the Literature Prize on Thursday, the Peace Prize on Friday, and the Economics Prize scheduled for October 14.

The awarding of the Nobel Prize in Physics to Hopfield and Hinton not only honors the two scientists but also signifies expectations for the future development of the artificial intelligence field. We anticipate that, in the near future, AI technologies will play even more significant roles across various sectors, contributing further to the advancement of human society.