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Co-Ops: Collaborative Open Source and Privacy-Preserving Training for Learning to Drive

Note: This project is a continuation of OSMOSIS: Open-Source Multi-Organizational Collaborative Training for Societal-Scale AI Systems. AbstractCurrent development of autonomous vehicles, a socially transformative technology, has been slow, costly, and inefficient....

CoDes : A co-design research lab to advance specialized hardware projects

CoDes research lab provides the infrastructure and engineering foundation needed to support co-design based specialized hardware research. The lab is currently located at Boston University, as part of the Red Hat – Boston University collaboratory.

Prototyping a Distributed, Asynchronous Workflow for Iterative Near-Term Ecological Forecasting

AbstractThe ongoing data revolution has begun to fuel the growth of near-term iterative ecological forecasts: continually-updated predictions about the future state (daily to multi-year) of ecosystems and their services that allow society to anticipate environmental...

FHELib: Fully Homomorphic Encryption Hardware Library for Privacy-preserving Computing

Note: Please visit the Privacy-Preserving Cloud Computing using Homomorphic Encryption project page for information on a related project. In today’s data-driven society, we frequently share our private data with third-party cloud service providers. To maintain the...

SECURE-ED: Open-Source Infrastructure for Student Learning Disability Identification and Treatment

 The project aims to develop an infrastructure that would enable users to input data about an individual student and receive back information about the student’s risk profile and the likelihood of responding to a particular intervention. We will leverage Red Hat MPC...
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