A rough guide for going back to the Moon
Release
Kim Martineau
- Accelerated Discovery
- AI
- Algorithms
What’s Next in AI
is generative computing
Large language models are revolutionizing the world, but today, delivering them safely and efficiently at the scale enterprise needs is difficult. IBM Research is designing powerful new ways to support the future of business, with open-source tools to prepare, secure, and use data, along with best-in-class multimodal models, and technology that redefines how we interact with AI systems. Generative computing is how we move beyond AI prompting to AI programming.
Our work
How llm-d makes the most of the hardware you already have
NewsPeter HessGranite 4.2 brings native reasoning to enterprise agents
ReleaseMike Murphy and Kim MartineauIntroducing DocLang, a markup language for AI
NewsKim MartineauFrom vision to reality: a unified neural solver for the power grid
ReleasePeter HessBringing a common language to AI evaluation
NewsKim Martineau- See more of our work on AI
Tools + code
Download Granite on Hugging Face
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Publication collections
Topics
- Adversarial Robustness and Privacy
- AI for Asset Management
- AI for Business Automation
- AI for Code
- AI for Supply Chain
- AI Testing
- Automated AI
- Causality
- Computer Vision
- Conversational AI
- Explainable AI
- Fairness, Accountability, Transparency
- Foundation Models
- Generative AI
- Granite
- Human-Centered AI
- Knowledge and Reasoning
- Machine Learning
- Natural Language Processing
- Neuro-symbolic AI
- Speech
- Trustworthy AI
- Trustworthy Generation
- Uncertainty Quantification
Projects
Finding AI-based solutions to address challenges around materials of concern and their replacement.
Collaborate with us
With over 3,000 researchers across the globe, IBM Research has a long pedigree of turning fundamental research into world-altering technology. Learn more about the ways that we collaborate with businesses and organizations across the globe to help solve their most pressing needs faster.