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Machine Learning

Machine learning uses data to teach AI systems to imitate the way that humans learn. They can find the signal in the noise of big data, helping businesses improve their operations. We've been in the field since since the beginning: IBMer Arthur Samuel even coined the term “Machine Learning” back in 1959.

Our work

  • In search of AI algorithms that mimic the brain

    Q & A
    Kim Martineau
    20 Feb 2024
    • AI
    • Foundation Models
    • Generative AI
    • Machine Learning
    • Science
  • How open source paved the way for computing from anywhere

    Q & A
    Kim Martineau
    20 Sep 2023
    • AI
    • Hybrid Cloud Platform
    • Machine Learning
    • Scaling AI
  • AI transformers shed light on the brain’s mysterious astrocytes

    IBM RESEARCH_BlogPost_aug31.jpg
    Research
    Kim Martineau
    31 Aug 2023
    • AI
    • Foundation Models
    • Life Sciences
    • Machine Learning
    • Natural Language Processing
    • Science
  • What is prompt-tuning?

    News
    Kim Martineau
    15 Feb 2023
    • AI
    • Computer Vision
    • Fairness, Accountability, Transparency
    • Foundation Models
    • Machine Learning
    • Natural Language Processing
  • Saška Mojsilović wants to channel AI for good. She may also make you rethink sour cabbage

    Saška Mojsilović at IBM Research in Yorktown
    News
    Kim Martineau
    09 Feb 2023
    • AI Transparency
    • Data and AI Security
    • Explainable AI
    • Fairness, Accountability, Transparency
    • Machine Learning
  • What is synthetic data?

    Explainer
    Kim Martineau
    08 Feb 2023
    • AI
    • Data and AI Security
    • Machine Learning
  • See more of our work on Machine Learning

Related topics

  • Computer Vision
  • Neuro-symbolic AI
  • Quantum Machine Learning
  • Natural Language Processing
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