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    You are at:Home»Finance»Entrepreneurship»How Google DeepMind CEO Went From Chess to AI, Nobel Prize
    Entrepreneurship

    How Google DeepMind CEO Went From Chess to AI, Nobel Prize

    newsworldaiBy newsworldaiMarch 26, 2025No Comments3 Mins Read0 Views
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    How Google DeepMind CEO Went From Chess to AI, Nobel Prize
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    Google Deep Mind’s CEO Demis was the unexpected start of the AI ​​journey of the Cells: its initial skills.

    https://www.tiqets.com/en/new-york-new-york-hotel-casino-tickets-l235895/?partner=travelpayouts.com&tq_campaign=bc55a31e7f434e4ab93246c49-615741

    Several years ago, the expell will receive a 2024 Nobel Prize in Chemistry to create an AI program, which predicted the protein structure, was a child chess champion who started playing the game at the age of four. At the age of 13, he was the master of chess, who competed against adults in international competitions.

    In a lecture at the University of Cambridge earlier this month, Husbis, who is now 48 years old, explained that chess explores her “thinking about her own thinking” or the mental process behind complex ideas.

    “How does our mind come up with these plans, these ideas?” The calculation asked. “The more interesting thing for me than the game I was playing was the real mental process behind it.”

    Related: Google is allegedly paying 7 2.7 billion for early employee recovery that made AI Chat Boat before Chat GPT

    The first exhibition of calculation for child programming was through an electronic chess computer, which is a physical board that was able to play chess against a human player. Although the purpose of calculation was to test various chess strategies on the computer, it was more interested in how the computer worked and how someone made a program to play chess.

    “I remember the fact that someone had planned to play this lunch of a lifeless plastics really against you to play chess.” “I was really attracted to how it happened and how someone could make such a program.”

    In early adolescence, the couch began trying to create an AI program on the initial domestic computer, Amiga 500. Since then, he was “bent” on the AI ​​and he decided to spend his career in the field.

    Dames calculation. Photographer: Stephen Vermut/Bloomberg through Getty Images

    Holding founded the AI ​​company Deep Mind in 2010, and was acquired by Google in 2014 for more than $ 500 million. Later he invented Al -Fazro in 2017, an AI algorithm that only needed chess rules and became the strongest player of chess to play against himself for four hours, who defeated the masters of human chess.

    Hasabis was awarded the Nobel Prize in Chemistry in 2024 with the Nobel Prize in which AI Model, with fellow award -winning and director of Deep Mind, who had accurately predicted the complex structure of almost 200 million proteins, each within a minute. The alfalold protein structure database, which makes these protein structure independently available, has reached more than two million users in 190 countries, helping to pave the way for modern research in areas such as Parkinson’s treatment and antibiotic resistance.

    Related: Google’s co -founder Sergey Burn has returned to the company ‘very much every day.’ Here he is working.

    In his Cambridge lecture, the couples pointed out that making a new drug costs an average of 10 years, and billions of dollars, plus billions of dollars. According to the London School of Economics and Political Science, the average cost of drug manufactures is $ 314 million to $ 2.8 billion.

    In the lecture, the calculation touched the possibility of developing drugs faster and cheap, “for the least minute and seconds of possible years.”

    The knot told Deep Mind employees in London earlier this month that they think artificial intelligence will be more intelligent than humans within the next decade.

    CEO Chess DeepMind Google Nobel Prize
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