Category: Research
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AlphaFold wins the 2024 Nobel Prize in Chemistry
One day after AI took the physics prize, the 2024 Chemistry Nobel honored AlphaFold, the DeepMind model that predicts protein structures, and computational protein design.
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The 2024 Nobel Prize in Physics goes to neural networks
John Hopfield and Geoffrey Hinton won the 2024 Nobel Prize in Physics for foundational work on artificial neural networks, the machinery behind today's AI.
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OpenAI o1: models that think before they answer (2024)
OpenAI previewed a model line trained to reason through problems step by step before responding, trading speed for accuracy and reviving the idea that thinking longer can pay off.
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GPT-3: when scale became the strategy (2020)
OpenAI's 175-billion-parameter model showed that a big enough language model could learn new tasks from a few examples in the prompt, no retraining required.
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"Attention is all you need": the Transformer arrives (2017)
A 2017 paper replaced the sequential machinery of earlier networks with pure attention. The Transformer became the architecture behind almost every large language model since.
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AlexNet: the night deep learning came back (2012)
A deep neural network trained on two gaming GPUs crushed the ImageNet benchmark and ended a long winter for neural networks almost overnight.
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ImageNet: the dataset that would teach machines to see (2006)
Fei-Fei Li bet that data, not just cleverer algorithms, would unlock computer vision. ImageNet became the benchmark that lit the fuse for the deep-learning era.
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Rosenblatt's perceptron: the machine that learned (1958)
Frank Rosenblatt's perceptron was the first machine to learn from experience, celebrated by the press, attacked by critics, and vindicated decades later.
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Computing Machinery and Intelligence: Turing's imitation game (1950)
Alan Turing's 1950 paper replaced 'Can machines think?' with a practical test, and shaped how we still talk about machine intelligence.