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
Hudson Forum 2024: Building the future with collaboration and math
NewsMike MurphySimplify your Code LLM solutions using CodeLLM DevKit
Technical noteRangeet Pan, Rahul Krishna, Saurabh Sinha, Raju Pavuluri, and Maja VukovicA toxic language filter built for speed
NewsKim MartineauHow IBM Research built a lab for the future of computing
Deep DiveMike MurphyImproving Hugging Face training efficiency through packing with flash attention
Technical noteRhui Dih Lee, Arthur Zucker, Achintya Kundu, Laura Wynter, Raghu Ganti, and Mayank MishraBreaking down the AI transformer
ExplainerKim Martineau- 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
