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 …

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

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 …

Mar 25, 2024 · Model reprogramming enables resource-efficient crossdomain machine learning by repurposing and reusing a welldeveloped pre-trained model from a source domain to solve tasks in a …

Since then, machine learning for structured data has become one of the major research areas in data mining and machine learning. Proud of our successes, we are actively tackling the frontiers in …

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 …

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

Feb 25, 2025 · TDiMS : A Topological Distance based Intra-Molecular Substructure Descriptor for Improved Machine Learning Predictions for AAAI 2025 by Lisa Hamada et al.

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 …