IQT Labs explore the art of the possible in emerging technology areas of interest to national security. These include cybersecurity, biotechnology, commercial space, and advanced data analytics.
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.
Using certificates from python can be a challenging and counterintuitive process, and the default options available to developers are somewhat limited. This blog explores enhance the open source Requests Toolbelt library.
B.Next and Lab41 set out to answer the following question: Given a DNA sequence, can we use machine learning to determine if it was purposefully modified?
Highlights results from The SpaceNet Challenge: Round 4, Off-Nadir Building Footprint Extraction. The winning solutions represented a 1.5-fold improvement over the initial baseline model’s performance.
The SIMRDWN framework extends popular object detection algorithms to operate in the overhead imagery domain. This blog discusses training a model to detect cars in overhead images.
What We’re Reading
IQT Labs is a wholly owned subsidiary of In-Q-Tel, Inc.