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Bookmark or Share- Neuro-symbolic AI - IBM ResearchNeuro-symbolic AI. 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.
- What is retrieval-augmented generation? - IBM ResearchAs the name suggests, RAG has two phases: retrieval and content generation. In the retrieval phase, algorithms search for and retrieve snippets of information relevant to the user’s prompt or question.
- What are foundation models? - IBM ResearchSimilarly, late last year, we launched a version of our open-source CodeFlare tool that drastically reduces the amount of time it takes to set up, run, and scale machine learning workloads for future foundation models. It’s the sort of work that needs to be done to ensure that we have the processes in place for our partners to work with us ...
- Artificial Intelligence - IBM ResearchInternational Conference on Machine Learning. ... ICLR 2024. 38. International Conference on Learning ...
- Quantum Machine Learning - IBM ResearchQuantum 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. Our work
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