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.
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.
A deeper dive into CosmiQ's study on super-resolution and object detection performance class specific results.
Part 3 of a discussion about an introductory outline for some of our work in exploring the relationships between super-resolution (SR) and object detection algorithms in satellite imagery.
Viziflu is a visualization tool that displays multiple predictions about the timing of “Peak Week,” the week with the highest predicted number of flu cases.
Part 3 of a series about the SpaceNet 4: Off-Nadir Dataset and Building Detection Challenge.
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