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.
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Our work
Mitigating the environmental harm of PFAS ‘forever chemicals’
NewsKim Martineau- Accelerated Discovery
- AI
- Exploratory Science
- Foundation Models
- Generative AI
- Natural Language Processing
What is red teaming for generative AI?
ExplainerKim Martineau- Adversarial Robustness and Privacy
- AI
- AI Testing
- Fairness, Accountability, Transparency
- Foundation Models
- Natural Language Processing
- Security
- Trustworthy AI
IBM and Spain are collaborating to build large language models in Spanish
NewsMike Murphy- AI
- Generative AI
Generative AI could offer a faster way to test theories of how the universe works
NewsKim Martineau- AI
- AI for Asset Management
- AI for Business Automation
- AI for IT
- Automated AI
- Foundation Models
IBM and NASA build language models to make scientific knowledge more accessible
Technical noteBishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Bharath Dandala, Rong Zhang, and Yousef El-Kurdi- Accelerated Discovery
- AI
- Generative AI
- Science
A faster, systematic way to train large language models for enterprise
ResearchKim Martineau- AI
- Foundation Models
- Generative AI
- 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
- Human-Centered AI
- Knowledge and Reasoning
- Machine Learning
- Natural Language Processing
- Neuro-symbolic AI
- Speech
- Trustworthy AI
- Trustworthy Generation
- Uncertainty Quantification