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  • Machine Learning - IBM Research
    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
  • Introducing AI Fairness 360 - IBM Research
    Machine learning models are increasingly used to inform high-stakes decisions about people Although machine learning, by its very nature, is always a form of statistical discrimination, the discrimination becomes objectionable when it places certain privileged groups at systematic advantage and certain unprivileged groups at systematic disadvantage
  • Snap machine learning - IBM Research
    Snap Machine Learning (Snap ML in short) is a library for training and scoring traditional machine learning models Such traditional models power most of today's machine learning applications in business and are very popular among practitioners as well (see the 2019 Kaggle survey for details) Snap ML has been designed to address some of the
  • Quantum Machine Learning - IBM Research
    Quantum Machine Learning We now know that quantum computers have the potential to boost the performance of machine learning systems, and may eventually power efforts in fields from drug discovery to fraud detection We're doing foundational research in quantum ML to power tomorrow’s smart quantum algorithms
  • Machine Learning for Drug Development and Causal Inference
    The Machine Learning for Drug Development and Causal Inference group is developing machine learning models for innovative drug discovery technologies and bringing them to fruition for IBM clients Our researchers believe that drug discovery can benefit from technologies that learn from the rich clinical, omics, and molecular data being
  • What is synthetic data? - IBM Research
    Aim a firehose of data at a human, and you get information overload But if you do the same to a computer, you get machine-learning models that can learn to complete sentences as you type or detect tumors in medical scans that are often too subtle for a human eye to see
  • Neuro-symbolic AI - IBM Research
    Neuro-symbolic AI We see Neuro-symbolic AI as a pathway to achieve artificial general intelligence By augmenting and combining the strengths of statistical AI, like machine learning, with the capabilities of human-like symbolic knowledge and reasoning, we're aiming to create a revolution in AI, rather than an evolution
  • What is federated learning? - IBM Research
    In vertical federated learning, the data are complementary; movie and book reviews, for example, are combined to predict someone’s music preferences Finally, in federated transfer learning, a pre-trained foundation model designed to perform one task, like detecting cars, is trained on another dataset to do something else, like identify cats


















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