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
A new tool to unlock data from enterprise documents for generative AI
NewsKim MartineauSurfing, customizing AI models, and really big microscopes
NewsMike MurphyFrom surf to satellites: Campbell Watson is bringing AI to Earth science
Deep DivePeter HessServing customized AI models at scale with LoRA
ResearchKim MartineauIBM announces the winners of the 2024 Pat Goldberg competition
NewsBuilding the future of chips in the USA
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
