Machine Learning - IBM Research
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 been in the field since since the beginning: IBMer Arthur Samuel even coined the term “Machine Learning” back in 1959.
Snap machine learning - IBM Research
A library that provides high-speed training of popular machine learning models on modern CPU/GPU computing systems.
What is federated learning? - IBM Research
Federated learning is a way to train AI models without anyone seeing or touching your data, offering a way to unlock information to feed new AI applications.
Quantum Machine Learning - IBM Research
Jul 12, 2021 · 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.
Neuro-symbolic AI - IBM Research
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 of human-like symbolic knowledge and reasoning, we’re aiming to create a revolution in AI, rather than an evolution.
Application error: a client-side exception has occurred - IBM …
It’s possible to build analog AI chips that can handle natural-language AI tasks with estimated 14 times more energy efficiency.
Machine Learning and Data Mining - IBM Research
At IBM Research, we’re inventing what’s next in AI, quantum computing, and hybrid cloud to shape the world ahead.
Artificial Intelligence - IBM Research
We’re inventing what’s next in AI research. Explore our recent work, access unique toolkits, and discover the breadth of topics that matter to us.
Application error: a client-side exception has occurred - IBM …
Using simulations and deep learning surrogates to test new ideas, we can fast-track the discovery of new materials, drugs, and more.
Machine Learning for Drug Development and Causal Inference
Combining foundation models with causal inference to accelerate early drug development