For over a century, at the beginning of October Takes the arrival of Nobel awards awareness of achievements across science, books and peace. Recipients vary from nationalism, age and gender but share one general object: they are a person. That can change over the next decades if a group after the Challenge of Nobel Turve is successful.
Introduced in 2016 is the Japanese scientist Hirakano Kitano, the challenge aims to promote the construction of a private AI program that may be found in 2050. “After 30 years of research, I realized that biological systems could be very complex and strong and strong in the ability to recognize people,” says Kitano telling the devilt.
Kitano worked for a long time where he met science and a machine study. In the 1980s, and at the beginning of the 1990s, he researched AI programs in Carnegie Mellon University. Recently, he worked as a great technician for Sony Grount Corporation from 2022 to 2024 and now holds a large title of the technician. He also also is a Sony CEO Science Laboratories, a unit focused on the edge.
The broader scientific society at first greeted Nobel Turven’s challenge for the challenge of happiness and doubt. This did not accelerate Kitano, who faced the same reaction in 1993 when he began to progress, the challenging Roboticis to build a robotic soccer team that could overcome the beautiful players in 2050.
“Any major challenge will face a mixed reaction,” he said. “Besides, it’s not hard enough.”
Today, the purpose of Kitano seems to be taken away. AI already plays a growing role in the recent Nobel Prize Winners – even though one’s attitude. Last year, the Nobel Prize in Physics went to Ai Geoffrey Hinton researchers and John Herfefield for their donations to the NEural network training. Two chemicals last year, Dee Depmind’s Deepmind’s Deepmind and John Jumper, is recognized to develop Alfolfold, AI model for predicting protein structures.
The challenge of Nobel Turning has two main intent. First, AI system should govern all scientific research categories: explain the questions, producing hypotheses, planning and performing new questions based on effects. Secondly, with NOD in Turning, the challenge aims to see that such AI scientist can do so much to keep a peense – and even the Nobel Delivery Committee – will not see that it is a machine.
Kitano believes AI is likely to receive Nobel Prize in Physioology or medication, chemistry, but admits that early development despite advances as soon as possible despite immediate development. Developing a program that is able to produce large hypotheses and auto-work Robotic research is always a major challenge. “We’re in the first phase of the game,” he said.
Nevertheless, the challenge is – Having Ai Win Nobel Award – is not technology. Awards, established in 1895 by the Invenmer Alfred Redestable Democratic, only a living person, organization or institution. Nevertheless, Kitano hopes that his law can influence how the billions committees make decisions.
“I think if [the] The Nobel Committee has made the internal law to keep the candidate by a person or AI before the decision of award, that would win our win. “