Seminar | October 30 | 12-1 p.m. | Sutardja Dai Hall, Banatao Auditorium, 310
"A Multimodal-Deep Learning System for Monitoring Nuclear Proliferation Activities Using Open Sources"
About the Talk:
As the amount of available data increases, the human ability to locate, process, and analyze it is strained and eventually overwhelmed. To address this challenge for nonproliferation analysts, we have been designing a large-scale multimodal retrieval system to help analysts triage and search open source science, technology, transaction, and news data for indicators of nuclear proliferation capabilities and activities. Our system relies on a set of deep neural networks (DNNs) trained to evaluate conceptual similarities across data modalities, e.g. text, image, video. These DNNs can be used to search and prioritize data, according to a nuclear fuel cycle (NFC) process template, that are conceptually closest to the seed query items regardless of data modality. We evaluate the system's ability to retrieve NFC related data that have been purposely hidden in collections of unrelated background data. Quantitative and qualitative results for text-to-image, image-to-image, and image-to-video retrievals are demonstrated.
Yana Feldman, Nonproliferation and International Safeguards Analyst, Lawrence Livermore National Laboratory
About CITRIS Research Exchange:
Launched in 2008, CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic, industry, and civic leaders. CITRIS Research Exchange is free and open to the public. Each one-hour seminar starts at 12 pm and is hosted at the Banatao Auditorium in Sutardja Dai Hall on the UC Berkeley campus unless otherwise noted. Register by the Monday prior to the event to receive lunch.