2024年2月20日 · 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 …

2025年5月25日 · 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 …

2022年5月9日 · 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 …

2025年5月25日 · Efficient Circuit Performance Prediction Using Machine Learning: From Schematic to Layout and Silicon Measurement with Minimal Data Input for ISCAS 2025 by Dimple Vijay Kochar et al.

2018年9月19日 · 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 …

2026年3月26日 · The IBM Research blog is the home for stories told by the researchers, scientists, and engineers inventing What’s Next in science and technology.

2025年3月31日 · A new framework for evaluating machine learning in biochemistry and its application for small molecules and peptides for IRB-AI-DD 2025 by Raúl Fernández Díaz et al.

6 天之前 · Q & A Kim Martineau 31 Mar 2026 AI Quantum Quantum Algorithms Quantum Machine Learning Quantum Research IBM’s newest time-series models cover a full range of enterprise …

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

2021年10月12日 · 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 …