May 9, 2022 · These are called foundation models, a term first popularized by the Stanford Institute for Human-Centered Artificial Intelligence. We’ve seen the first glimmers of the …

Apr 3, 2025 · We believe that foundation models will dramatically accelerate AI adoption in business. Reducing time spent labeling data and programming models will make it much …

IBM Research biomedical foundation model (BMFM) technologies leverage multi-modal data of different types, including drug-like small molecules and proteins (covering a total of more than …

May 9, 2023 · By the end of 2022, all of IBM’s foundation model training work transitioned to running with this software stack on Vela in IBM Cloud. Today, MCAD manages the queue of …

With that in mind, our Foundation Model Evaluation framework (FM-eval) aims at validating and evaluating new large language models (LLMs) coming out of the IBM model factory, alongside …

In particular, we are witnessing the rise of AI foundation models that can perform competitively on multiple domain-specific downstream tasks. Despite this progress, we are still in the nascent …

It is argued that FMs learning from diverse grid data and topologies, which we call grid foundation models (GridFMs), could unlock transformative capabilities, pioneering a new approach to …

Nov 28, 2022 · As foundation models enter the mainstream, addressing bias in models with billions or trillions of parameters will be the next challenge. Under typical de-biasing methods, …

Nov 16, 2022 · While much of the early innovation in foundation models was geared towards language, we are seeing mounting evidence that the approach applies to many domains, from …

Properties' objectives and constraints are assessed through predictors built on top of the corresponding foundation models, which could also inform latent space exploration strategies …