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  • Introducing IBM’s new toolkit for AI steering - IBM Research
    It allows researchers and developers to assemble multiple steering methods in one workflow as they would in building a classical machine learning pipeline “Instead of transforming data, the steering pipelines transforms generation by injecting guidance at different points in the process,” said Miehling
  • Quantum kernels can solve machine learning problems that are hard for . . .
    Researchers have mathematically proven the existence of a quantum speedup for machine learning
  • Terramind: the new generative AI model for Earth observation
    The new foundation model from IBM and the ESA combines insights from nine types of Earth observation data to provide an intuitive understanding of our planet
  • 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 Bias in training data, due to either
  • What is AI inferencing? - IBM Research
    Part of the Linux Foundation, PyTorch is a machine-learning framework that ties together software and hardware to let users run AI workloads in the hybrid cloud One of PyTorch’s key advantages is that it can run AI models on any hardware backend: GPUs, TPUs, IBM AIUs, and traditional CPUs
  • The Qiskit Global Summer School is returning with a focus on Quantum . . .
    This year’s Qiskit Global Summer School, from July 12-23, will feature live lectures and hands-on labs using the Qiskit machine learning application module
  • Could AI help clinicians to predict Alzheimer’s disease before it . . .
    Our vision is that one day clinicians will have multiple AI and machine learning tools to help identify if an individual is at risk of developing Alzheimer’s disease
  • 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
  • Artificial Intelligence - IBM Research
    AI for Code AI for Supply Chain AI Testing Automated AI Causality Computer Vision Conversational AI Explainable AI Fairness, Accountability, Transparency Foundation Models Generative AI Granite Human-Centered AI Knowledge and Reasoning Machine Learning Natural Language Processing Neuro-symbolic AI Speech Trustworthy AI Trustworthy Generation
  • Thermonat models heat with unprecedented accuracy - IBM Research
    A machine-learning technique called a Fourier neural operator, which employs a neural network training format, aided the development of these reduced-order models The Fourier neural operator is particular to machine learning for solving partial differential equation matrices, so it was uniquely suited to this scenario, said Robison





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