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    Home»Science»Two AI trailblazers win the 2024 Nobel Prize in physics
    Science

    Two AI trailblazers win the 2024 Nobel Prize in physics

    October 9, 20246 Mins Read
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    A sketch of 2024 Nobel prize winners John Hopfield and Geoffrey Hinton.
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    artificial intelligence: A type of knowledge-based decision-making exhibited by machines or computers. The term also refers to the field of study in which scientists try to create machines or computer software capable of intelligent behavior.

    atom: The basic unit of a chemical element. Atoms are made up of a dense nucleus that contains positively charged protons and uncharged neutrons. The nucleus is orbited by a cloud of negatively charged electrons.

    bias: The tendency to hold a particular perspective or preference that favors some thing, some group or some choice. Scientists often “blind” subjects to the details of a test (don’t tell them what it is) so that their biases will not affect the results.

    biomedicine: The field of research that explores the biological basis of injuries or disease and their treatments.

    black hole: A region of space having a gravitational field so intense that no matter or radiation (including light) can escape.

    computer science: The scientific study of the principles and use of computers. Scientists who work in this field are known as computer scientists.

    development: (in engineering) The growth or change of something, be it an idea or a prototype product.

    digital: (in computer science and engineering)  An adjective indicating that something has been developed numerically on a computer or on some other electronic device, based on a binary system (where all numbers are displayed using a series of only zeros and ones).

    internet: An electronic communications network. It allows computers anywhere in the world to link into other networks to find information, download files and share data (including pictures).

    large language model: (in computing) Language models are a type of machine learning. They attempt to predict upcoming words (in text or speech) and then present those predictions using words that almost anyone should understand. The models learn to do this by reviewing large quantities of text or speech. As their name would imply, large language models train using enormous troves of data. They organize and make sense of those data using “neural nets” — a scheme patterned a bit off of the pathways of nerves in the human brain (and for whose development the 2024 Nobel Prize in physics was awarded). Large language models don’t just learn words, but also phrases made of many words. They can even learn from the context in which a new phrase and idea is worded (meaning the words that accompany those phrases or in which those phrases have been embedded).

    machine learning: A technique in computer science that allows computers to learn from examples or experience. Machine learning is the basis of some forms of artificial intelligence (AI). For instance, a machine-learning system might compare X-rays of lung tissue in people with cancer and then compare these to whether and how long a patient survived after being given a particular treatment. In the future, that AI system might be able to look at a new patient’s lung scans and predict how well they will respond to a treatment.

    magnetic field: An area of influence created by certain materials, called magnets, or by the movement of electric charges.

    model: A simulation of a real-world event (usually using a computer) that has been developed to predict one or more likely outcomes. Or an individual that is meant to display how something would work in or look on others.

    molecule: An electrically neutral group of atoms that represents the smallest possible amount of a chemical compound. Molecules can be made of single types of atoms or of different types. For example, the oxygen in the air is made of two oxygen atoms (O2), but water is made of two hydrogen atoms and one oxygen atom (H2O).

    network: A group of interconnected people or things. (v.) The act of connecting with other people who work in a given area or do similar thing (such as artists, business leaders or medical-support groups), often by going to gatherings where such people would be expected, and then chatting them up. (n. networking)

    neural network: Also known as a neural net. A computer program designed to manage lots of data and in complex ways. These systems consist of many (perhaps millions) of simple, densely linked connections within a computer. Each connection, or node, can perform a simple operation. One node might be connected to several feeder nodes, which send it data. Several more nodes in another layer sit ready to accept the newly processed data and act upon them in some other way. The general idea of networks was initially patterned loosely on the way nerve cells work in the brain to process signals that lead to thought and learning.

    neuron: The main cell type of the nervous system — the brain, spinal column and nerves. These specialized cells transmit information by producing, receiving and conducting electrical signals. Neurons also can transmit signals to other cells with chemical messengers.

    Nobel prize: A prestigious award named after Alfred Nobel. Best known as the inventor of dynamite, Nobel was a wealthy man when he died on December 10, 1896. In his will, Nobel left much of his fortune to create prizes to those who have done their best for humanity in the fields of physics, chemistry, physiology or medicine, literature and peace. Winners receive a medal and large cash award.

    node: A person or thing in a network.

    particle: A minute amount of something.

    physics: The scientific study of the nature and properties of matter and energy. Classical physics is an explanation of the nature and properties of matter and energy that relies on descriptions such as Newton’s laws of motion. Quantum physics, a field of study that emerged later, is a more accurate way of explaining the motions and behavior of matter. A scientist who works in such areas is known as a physicist.

    protein: A compound made from one or more long chains of amino acids. Proteins are an essential part of all living organisms. They form the basis of living cells, muscle and tissues; they also do the work inside of cells. Antibodies, hemoglobin and enzymes are all examples of proteins. Medicines frequently work by latching onto proteins.

    risk: The chance or mathematical likelihood that some bad thing might happen. For instance, exposure to radiation poses a risk of cancer. Or the hazard — or peril — itself. (For instance: Among cancer risks that the people faced were radiation and drinking water tainted with arsenic.)

    system: A network of parts that together work to achieve some function. For instance, the blood, vessels and heart are primary components of the human body’s circulatory system. Similarly, trains, platforms, tracks, roadway signals and overpasses are among the potential components of a nation’s railway system. System can even be applied to the processes or ideas that are part of some method or ordered set of procedures for getting a task done.

    technology: The application of scientific knowledge for practical purposes, especially in industry — or the devices, processes and systems that result from those efforts.



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