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
IBM and ESA open-source TerraMind, the best performing generative AI model for Earth observation
ReleaseAshley PetersonIBM and UIUC develop an orchestration system to serve LLMs more efficiently
Technical noteArchit Patke, Saurabh Jha, and Chandra NarayanaswamiA new kind of adapter helps LLMs get their words out faster
ResearchKim MartineauRevolutionizing industries with AI-powered digital twins
Case studyPeter HessIBM’s safety checkers top a new AI benchmark
NewsKim MartineauSimplifying geospatial AI with TerraTorch 1.0
Technical noteRomeo Kienzler, Juan Bernabé-Moreno, Paolo Fraccaro, Bianca Zadrozny, Campbell Watson, Benedikt Blumenstiel, Joao Lucas de Sousa Almeida, Michael Johnston, Christian Pinto, and Michal Muszynski- See more of our work on AI
Tools + code
Download Granite on Hugging Face
Explore our family of language, code, time series, and geospatial models.
View project →Try Granite for Free
Chat with a Granite model and learn how it can be used across a variety of applications.
View project →Read Granite Documentation
Learn how to access, run, and start using the Granite family of AI models.
View project →
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