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’s text-to-SQL generator takes top place on a benchmark for handling complex database queries
NewsKim MartineauServing AI models faster with speculative decoding
NewsKim MartineauThe technology behind InstructLab, a low-cost way to customize LLMs
NewsKim MartineauAt Think, IBM showed how generative AI is set to take automation to another level
Deep DiveMike MurphyTiny benchmarks for large language models
NewsKim MartineauThe future of AI is open
NewsMike Murphy and Peter Hess- 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