What’s Next in AI
is foundation models at scale
AI is revolutionizing how business gets done, but popular models can be costly and are often proprietary. At IBM Research, we’re designing powerful new foundation models and generative AI systems with trust and transparency at their core. We’re working to drastically lower the barrier to entry for AI development, and to do that, we’re committed to an open-source approach to enterprise AI.
Our work
IBM crossed a transformer with an SSM and got ‘Bamba’
NewsKim MartineauMiklós Ajtai and Regina Barzilay received IEEE medals for applying unexpected methods to computer science
NewsPeter HessIBM and ESA open-source TerraMind, the best performing generative AI model for Earth observation
ReleaseAshley PetersonIBM and UIUC develop an orchestration system to serve LLMs more efficiently
Technical noteArchit Patke, Saurabh Jha, and Chandra NarayanaswamiA new kind of adapter helps LLMs get their words out faster
ResearchKim MartineauRevolutionizing industries with AI-powered digital twins
Case studyPeter Hess- 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.
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Learn how to access, run, and start using the Granite family of AI models.
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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