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  • Machine Learning - IBM Research
    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
  • Blog - IBM Research
    The IBM Research blog is the home for stories told by the researchers, scientists, and engineers inventing What’s Next in science and technology
  • Snap machine learning - IBM Research
    Optimizing Machine Learning Accelerate popular Machine Learning algorithms through system awareness, and hardware software differentiation Develop novel Machine Learning algorithms with best-in-class accuracy for business-focused applications AI in Business – Challenges Snap Machine Learning (Snap ML in short) is a library for training and scoring traditional machine learning models Such
  • Introducing AI Fairness 360 - IBM Research
    We are pleased to announce AI Fairness 360 (AIF360), a comprehensive open-source toolkit of metrics to check for unwanted bias in datasets and machine learning models, and state-of-the-art algorithms to mitigate such bias We invite you to use it and contribute to it to help engender trust in AI and make the world more equitable for all
  • Quantum Machine Learning: An Interplay Between Quantum Computing and . . .
    Quantum machine learning (QML) is a rapidly growing field that combines quantum computing principles with traditional machine learning It seeks to revolutionize machine learning by harnessing the unique capabilities of quantum mechanics and employs machine learning techniques to advance quantum computing research This paper presents an overview of quantum computing for the machine learning
  • 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
  • Adversarial Robustness Toolbox - IBM Research
    The Adversarial Robustness Toolbox (ART) is an open-source project, started by IBM, for machine learning security and has recently been donated to the Linux Foundation for AI (LFAI) by IBM as part of the Trustworthy AI tools ART focuses on the threats of Evasion (change the model behavior with input modifications), Poisoning (control a model with training data modifications), Extraction
  • IBM Research
    At IBM Research, we’re inventing what’s next in AI, quantum computing, and hybrid cloud to shape the world ahead
  • Quantum Computing - IBM Research
    We’re inventing what’s next in quantum research Explore our recent work, access unique toolkits, and discover the breadth of topics that matter to us
  • What are foundation models? - IBM Research
    What makes these new systems foundation models is that they, as the name suggests, can be the foundation for many applications of the AI model Using self-supervised learning and transfer learning, the model can apply information it’s learnt about one situation to another





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