IQT Labs explores technology opportunities and solutions to problems that have yet to be discovered. By open sourcing our data, code, and research findings, we provide insights and technology beyond the startup for national security and the common good.
Network defenders are bombarded with information, and the environments they work in can be incredibly complex. To help better visualize what's on a network, we released two Open Source projects that work together.
Dataviz Cafe offers a searchable catalog of 1,000+ available visualization tools, libraries, and frameworks.
SRI International and Lab41 are proud to release the Voices Obscured in Complex Environmental Settings (VOICES) corpus, a collaborative effort that brings speech data in acoustically challenging reverberant environments to the researcher.
This post discusses how to apply these trained deep learning object detection models to large test images and visualize results. It also discusses some of the new features of the recently released SIMRDWN v2, such as incorporation of the latest TensorFlow models and YOLO v3.
A deeper dive into Viziflu, a visualization tool developed by IQT Labs that displays multiple predictions about the timing of national “Peak Week,” the week with the highest predicted number of flu cases, in the United States.
Late last year the Cyber Reboot team got the opportunity to run a deployment of our Poseidon project on the high-performance network, SCinet. Read about the changes we made to get it working at high-speed!
In this final post of our series about the challenge, I’ll explore the types of buildings that models identified well and geographic features that presented a challenge to the competitors.
The SpaceNet Challenge Round 4: Off-Nadir Building Detection Challenge is complete! This blog highlights a few key differentiators that improved segmentation in the winning algorithms.
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