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- What are foundation models? - IBM Research
Foundation models: We're witnessing a transition in AI Systems that execute specific tasks in a single domain are giving way to broad AI that learns more generally and works across domains and problems
- Foundation Models - IBM Research
The next wave in AI will replace task-specific models with ones that are trained on a broad set of unlabeled data that can be used for different tasks — with minimal fine-tuning These are called foundation models
- An AI foundation model that learns the grammar of molecules
Meet MoLFormer-XL, a pretrained AI model that infers the structure of molecules from simple representations, making it faster and easier to screen molecules for new applications or create them from scratch
- Terramind: the new generative AI model for Earth observation
The new foundation model from IBM and the ESA combines insights from nine types of Earth observation data to provide an intuitive understanding of our planet
- IBM and NASA are building an AI foundation model for weather and . . .
IBM and NASA’s goal is to create a multimodal AI foundation model for weather and climate prediction that can be adapted to many downstream tasks with relatively few GPUs
- Artificial Intelligence - IBM Research
IBM Research is designing powerful new ways to support the future of business, with open-source tools to prepare, secure, and use data, along with best-in-class multimodal models, and technology that redefines how we interact with AI systems
- AI for Scientific Discovery - IBM Research
We are conceiving and developing novel frameworks for AI foundation models and multi-cloud computing to usher in a new era of reproducible and collaborative experimentation for scientific discovery
- Speeding up EV battery development with AI digital twins
By applying foundation model techniques originally developed for language processing, our researchers created a framework for building AI-powered digital twins that are fully data-driven, self-improving, and capable of accurately predicting complex system behaviors
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