Our members are building the future of AI

Artificial intelligence methods to develop equity-driven pathways to building decarbonization in support of city climate change policy. The project focuses on connecting building science, machine learning, sustainability science, and public policy to enable analytical decision-making at multiple scales and time horizons.

A python library to benchmark counterfactual explanation and recourse models.

A novel probabilistic foundation model for atmospheric dynamics with applications on weather forecasting, downscaling, spatio-temporal interpolations and precipitation predictions.

This work focuses on time-sensitive AI, for example, to rapidly evaluate a photo for interesting content, or even to perform pipelines of intelligent tasks.

A dashboard of how well models perform for chatbots, where the performance is measured by user feedback.

Carbon Limiting Auto Tuning for Kubernetes

An agent framework for working with Code LLMs

A framework that takes notifications from a network of small telescopes, evaluate and classify that data to identify the most likely candidates for the transient being hunted and deliver the results

Using hardware-assisted silicon root of trust to build trustworthy machine learning platforms for the cloud environments.

Cooking with Granite is a community project and hub for building with IBM's Granite Model Family. We are collaboratively building out use case recipes collected into cookbooks and a community kitchen for experimentation and development.

An emotional text-to-speech model that aims to simulate a wider spectrum of our emotions, grounded on the psychological theory of emotions.

An open source project to help with unstructured data preparation for LLM app developers and to run scalable data pipelines on Ray.