Can LLMs learn social skills by playing games?
Research
Kim Martineau
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 IBM’s Kush Varshney became the face of the modern ‘camera man’
Q & AKim MartineauIBM’s new benchmark puts industrial agents to the test
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NewsMike Murphy- See more of our work on AI
Tools + code
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Explore our family of language, code, time series, and geospatial models.
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Chat with a Granite model and learn how it can be used across a variety of applications.
View projectRead Granite Documentation
Learn how to access, run, and start using the Granite family of AI models.
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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
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.