6 papers
Advancing AI Challenges for the United States Department of the Air Force
Christian Prothmann, Vijay Gadepally, Jeremy Kepner +35
The DAF-MIT AI Accelerator is a collaboration between the United States Department of the Air Force (DAF) and the Massachusetts Institute of Technology (MIT). This program pioneers…
GraphBLAS Mathematical Opportunities: Parallel Hypersparse, Matrix Based Graph Streaming, and Complex-Index Matrices
Hayden Jananthan, Jeremy Kepner, Michael Jones +5
The GraphBLAS high performance library standard has yielded capabilities beyond enabling graph algorithms to be readily expressed in the language of linear algebra. These GraphBLAS…
DBOS Network Sensing: A Web Services Approach to Collaborative Awareness
Sophia Lockton, Jeremy Kepner, Michael Stonebraker +26
DBOS (DataBase Operating System) is a novel capability that integrates web services, operating system functions, and database features to significantly reduce web-deployment effort…
Accelerating AI Development with Cyber Arenas
William Cashman, Chasen Milner, Michael Houle +5
AI development requires high fidelity testing environments to effectively transition from the laboratory to operations. The flexibility offered by cyber arenas presents a novel opp…
Cyber Orbits of Large Scale Network Traffic
Jeremy Kepner, Hayden Jananthan, Chasen Milner +4
The advent of high-performance graph libraries, such as the GraphBLAS, has enabled the analysis of massive network data sets and revealed new models for their behavior. Physical an…
Anonymized Network Sensing Graph Challenge
Hayden Jananthan, Michael Jones, William Arcand +26
The MIT/IEEE/Amazon GraphChallenge encourages community approaches to developing new solutions for analyzing graphs and sparse data derived from social media, sensor feeds, and sci…