发明者
Matthew Luciw, Santiago Olivera, Anatoly Gorshechnikov, Jeremy Wurbs, Heather Marie Ames, Massimiliano Versace
发表日期
2024/3/12
专利局
US
专利号
11928602
专利申请号
15975280
简介
Lifelong Deep Neural Network (L-DNN) technology revolutionizes Deep Learning by enabling fast, post-deployment learning without extensive training, heavy computing resources, or massive data storage. It uses a representation-rich, DNN-based subsystem (Module A) with a fast-learning subsystem (Module B) to learn new features quickly without forgetting previously learned features. Compared to a conventional DNN, L-DNN uses much less data to build robust networks, dramatically shorter training time, and learning on-device instead of on servers. It can add new knowledge without re-training or storing data. As a result, an edge device with L-DNN can learn continuously after deployment, eliminating massive costs in data collection and annotation, memory and data storage, and compute power. This fast, local, on-device learning can be used for security, supply chain monitoring, disaster and emergency …
学术搜索中的文章
M Luciw, S Olivera, A Gorshechnikov, J Wurbs… - US Patent 11,928,602, 2024