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AI Pioneers Win Nobel Prize in Physics人工智能先驱获得诺贝尔物理学奖

AI Pioneers Win Nobel Prize in Physics-众嗅网
AI Pioneers Win Nobel Prize in Physics人工智能先驱获得诺贝尔物理学奖
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Wednesday, 09 October, 2024105 words2 minutes

Two important scientists won the Nobel Prize in Physics this year. They are John Hopfield and Geoffrey Hinton. They got this award for their work on artificial intelligence (AI).

Hopfield and Hinton made big discoveries in machine learning. This is how computers learn to do tasks. Their work helped create the AI we use today. AI can now do many things, like recognize pictures and translate languages.

Hinton is happy about the award. He thinks AI will change many areas of life, like healthcare. But he also warns that AI could become too powerful. He worries it might one day be a danger to humans.

Audio

Words

    artificial intelligence

    US
    /ˌɑːrtɪˈfɪʃl ɪnˈtɛlɪdʒəns/
    UK
    /ˌɑːtɪˈfɪʃl ɪnˈtɛlɪdʒəns/
    n.
    模拟人类智能的技术。

    machine learning

    US
    /məˈʃin ˈlɜrnɪŋ/
    UK
    /məˈʃiːn ˈlɜːnɪŋ/
    n.
    机器通过数据学习。

    recognize

    US
    /ˈrɛkəɡnaɪz/
    UK
    /ˈrɛkəɡnaɪz/
    v.
    识别或认出。

    Quiz

    Please type the answer in the comment section!

    1. What did Hopfield and Hinton win the Nobel Prize for?

    A.For inventing computers
    B.For their work on artificial intelligence
    C.For discovering a new planet

    Wednesday, 09 October, 2024123 words2 minutes

    The Nobel Prize in Physics for this year has been awarded to two pioneers in artificial intelligence: John J. Hopfield and Geoffrey E. Hinton. They received this prestigious honor for their groundbreaking work in machine learning using artificial neural networks.

    Hopfield, from Princeton University, created structures that can store and retrieve information. Hinton, known as the ‘AI Godfather’ from the University of Toronto, developed methods for networks to learn independently. Their combined work laid the foundation for the large artificial neural networks widely used today.

    While Hinton expresses optimism about AI’s potential to revolutionize fields like healthcare and boost productivity, he also cautions about its risks. His primary concern is the possibility of AI systems surpassing human intelligence and potentially turning against humanity.

    Audio

    Words

    prestigious

    US
    /prɛˈstɪdʒəs/
    UK
    /prɛˈstɪdʒəs/
    adj.
    享有声望的,著名的

    groundbreaking

    US
    /ˈɡraʊndˌbreɪkɪŋ/
    UK
    /ˈɡraʊndˌbreɪkɪŋ/
    adj.
    开创性的,突破性的
    n.
    开创,突破

    revolutionize

    US
    /ˌrɛvəˈluːʃəˌnaɪz/
    UK
    /ˌrɛvəˈluːʃənaɪz/
    v.
    彻底改变或革新。

    cautions

    US
    /ˈkɔːʃənz/
    UK
    /ˈkɔːʃənz/
    n.
    小心,谨慎的行为
    adj.
    小心的,谨慎的

    Quiz

    Please type the answer in the comment section!

    1. What specific area of AI did Hopfield and Hinton contribute to?

    A.Robot design
    B.Machine learning using artificial neural networks
    C.Computer hardware development

    2. What is Hinton’s main concern about AI?

    A.It might cause job losses
    B.It could become too expensive
    C.It might surpass human intelligence and turn against humanity

    Wednesday, 09 October, 2024189 words3 minutes

    The Nobel Prize in Physics for 2024 has been conferred upon two luminaries in the field of artificial intelligence: John J. Hopfield of Princeton University and Geoffrey E. Hinton of the University of Toronto. Their groundbreaking contributions to machine learning through artificial neural networks have earned them this prestigious accolade.

    Hopfield, at 91, is renowned for developing computational network architectures that can store and reconstruct information, particularly in the form of associative memory. Hinton, 78, often referred to as the ‘Godfather of AI’, is credited with inventing methods that allow networks to discover data properties independently.

    Their seminal work has been instrumental in shaping the landscape of modern AI. The success of contemporary AI systems, including image recognition tools and language translation applications, can be traced back to their foundational research. Moreover, their innovations have paved the way for large language models like ChatGPT.

    While Hinton expresses optimism about AI’s potential to revolutionize various sectors, including healthcare, and significantly enhance productivity, he also voices concerns about its potential risks. His primary apprehension lies in the possibility of AI systems surpassing human intelligence and potentially posing a threat to humanity.

    Audio

    Words

    luminaries

    US
    /ˈluːməˌnɛriz/
    UK
    /ˈluːməˌnɛəz/
    n.
    杰出的人物或明星。

    conferred

    US
    /kənˈfɜrd/
    UK
    /kənˈfɜːd/
    v.
    授予或给予某物。
    v.t.
    正式或官方地给予。

    accolade

    US
    /ˈækəˌleɪd/
    UK
    /ˈækəleɪd/
    n.
    荣誉,奖赏
    v.t.
    给予荣誉或称赞

    seminal

    US
    /ˈsɛmɪnəl/
    UK
    /ˈsɛmɪnəl/
    adj.
    具有重要意义的
    n.
    开创性作品

    apprehension

    US
    /ˌæp.rɪˈhɛn.ʃən/
    UK
    /ˌæp.rɪˈhɛn.ʃən/
    n.
    担忧或忧虑的感觉.
    n.
    对未来的恐惧或焦虑.

    Quiz

    Please type the answer in the comment section!

    1. What specific contribution did Hopfield make to AI?

    A.He invented the first computer
    B.He developed network architectures for storing and reconstructing information
    C.He created the first AI chatbot

    2. How has the work of Hopfield and Hinton influenced modern AI?

    A.It has only affected theoretical physics
    B.It has led to the development of image recognition and language translation tools
    C.It has made computers faster but not smarter

    3. What is Hinton’s perspective on the future of AI?

    A.He is only optimistic about its potential
    B.He believes AI will have no significant impact
    C.He is optimistic about its potential but also concerned about possible risks

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