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.
Introducing watsonx.ai
Explore our next-generation enterprise platform, powered by IBM's full technology stack and designed to enable enterprises to train, tune, and deploy AI models.
Our work
IBM and RPI researchers demystify in-context learning in large language models
NewsPeter HessWhat’s an LLM context window and why is it getting larger?
NewsKim MartineauMeet AI-Hilbert, a new algorithm for transforming scientific discovery
NewsPeter HessWhat are LLM AI agents?
ExplainerKim MartineauIBM reaffirms its commitment to the Rome Call for AI ethics
NewsMike MurphyRevolutionizing geospatial data management
Technical noteRomeo Kienzler and Thomas Brunschwiler- See more of our work on AI
MIT-IBM Watson AI Lab
We’re partnering with the sharpest minds at MIT to advance AI research in areas like healthcare, security, and finance.
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