Feb 20, 2024 · 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 …

May 25, 2025 · 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 …

May 9, 2022 · 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 …

Sep 19, 2018 · 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 …

Oct 5, 2023 · 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 …

Oct 12, 2021 · 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 …

Optimizing Machine Learning Accelerate popular Machine Learning algorithms through system awareness, and hardware/software differentiation Develop novel Machine Learning algorithms with …

Feb 18, 2026 · The IBM Research blog is the home for stories told by the researchers, scientists, and engineers inventing What’s Next in science and technology.

Aug 31, 2025 · Quantum Machine Learning for minimal omics datasets with large feature space using embeddings and feature selection techniques Abstract Despite the amount of omics data generated …

Mar 16, 2025 · High-throughput search of topological materials for interconnects using first-principles transport calculations and machine-learning for APS Global Physics Summit 2025 by Michelle Kelley …