http://www.bing.com:80/search?q=Machine+Learning搜索结果http://www.bing.com:80/s/a/rsslogo.gifhttp://www.bing.com:80/search?q=Machine+Learning版权所有 © 2026 Microsoft。保留所有权利。不得以任何方式或出于任何目的使用、复制或传输这些 XML 结果，除非出于个人的非商业用途在 RSS 聚合器中呈现必应结果。对这些结果的任何其他使用都需要获得 Microsoft Corporation 的明确书面许可。一经访问此网页或以任何方式使用这些结果，即表示您同意受上述限制的约束。https://research.ibm.com/topics/machine-learningMachine 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.周五, 03 4月 2026 21:29:00 GMThttps://research.ibm.com/blog/ai-fairness-360We 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.周六, 04 4月 2026 20:17:00 GMThttps://research.ibm.com/blogThe IBM Research blog is the home for stories told by the researchers, scientists, and engineers inventing What’s Next in science and technology.周六, 04 4月 2026 14:11:00 GMThttps://research.ibm.com/projects/snap-machine-learningOptimizing 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 ...周二, 24 3月 2026 22:31:00 GMThttps://research.ibm.com/publications/quantum-machine-learning-an-interplay-between-quantum-computing-and-machine-learningQuantum 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 ...周一, 23 3月 2026 01:04:00 GMThttps://research.ibm.com/topics/quantum-machine-learningQuantum 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.周三, 01 4月 2026 08:39:00 GMThttps://research.ibm.com/projects/adversarial-robustness-toolboxThe 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 ...周五, 03 4月 2026 00:01:00 GMThttps://research.ibm.com/blog/what-are-foundation-modelsWhat 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.周一, 30 3月 2026 05:06:00 GMThttps://research.ibm.com/At IBM Research, we’re inventing what’s next in AI, quantum computing, and hybrid cloud to shape the world ahead.周四, 26 3月 2026 15:19:00 GMThttps://research.ibm.com/artificial-intelligenceQ & 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 prediction tasks Technical note Pankaj Dayama, Vijay Ekambaram, Wesley Gifford, Lars Graf, Thomas Ortner, Angeliki Pantazi, Chandra Reddy, and Roman Vaculin 31 Mar 2026周日, 05 4月 2026 12:09:00 GMT