Search Results for author: Matthew S. Brown

Found 2 papers, 1 papers with code

SimpleMind adds thinking to deep neural networks

1 code implementation2 Dec 2022 Youngwon Choi, M. Wasil Wahi-Anwar, Matthew S. Brown

The SimpleMind framework brings thinking to DNNs by: (1) providing methods for reasoning with the knowledge base about image content, such as spatial inferencing and conditional reasoning to check DNN outputs; (2) applying process knowledge, in the form of general-purpose software agents, that are chained together to accomplish image preprocessing, DNN prediction, and result post-processing, and (3) performing automatic co-optimization of all knowledge base parameters to adapt agents to specific problems.

Common Sense Reasoning Decision Making

ADAPT: An Open-Source sUAS Payload for Real-Time Disaster Prediction and Response with AI

no code implementations25 Jan 2022 Daniel Davila, Joseph VanPelt, Alexander Lynch, Adam Romlein, Peter Webley, Matthew S. Brown

Small unmanned aircraft systems (sUAS) are becoming prominent components of many humanitarian assistance and disaster response (HADR) operations.

Active Learning Disaster Response +1

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