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IQT Quarterly Recap – Winter 2025

As we transition from the chilly embrace of winter to the refreshing warmth of spring at IQT’s headquarters, it’s the perfect time to reflect on last quarter — our newest investments, insights from our technical and investment teams, and significant milestones.

Is the Nuclear Industry Prepared for Disruption?

In this blog, we explore how lessons from the commercial space industry's revitalization could be applied to reinvigorate the nuclear sector.

The Future of Conflict is Now: The Need for Asymmetric Deterrence

The rise of non-state actors, the proliferation of advanced technologies, and the blurring of traditional battle lines have ushered in an era of asymmetric warfare. Learn how startups can help secure the future of conflict.

IQT Quarterly Recap – Fall 2024

The first snow has fallen, and the air is brisk at our headquarters in Tysons, VA, which means it’s time to take a look back at IQT’s fall quarter.

IQT Explains: What's to Come with 6G Innovation

This episode will discuss the evolution from 1G to 5G and explore the exciting possibilities of 6G, including its role in digital transformation and advanced sensing capabilities.

Solving AI’s Bottlenecks – The Critical Role of Physical and Software Layers

GPUs, TPUs, and ASICs are vital for training and running AI models, but the physical layer of AI infrastructure encompasses much more than raw compute power.

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Where in the World, Part 2: A Deep Learning Model for Cross-view Image Geolocalization

To explore state-of-the-art techniques for cross-view image geolocalization (CVIG), we implemented a deep learning model and used it with our new dataset to see what boosts performance and what doesn't.

Introducing Atlas: A Tool for Visualizing Deep Tech Relationships at Scale

Want to map out a startup ecosystem? Looking to analyze patent citation networks or venture investing networks? Another set of connected entities that might be easier to define in terms of nodes/edges? Atlas has you covered.

IQT Explains: AI Assurance

Analyzes AI tool vulnerabilities and audit findings on IQT's FakeFinder.

Where in the World, Part 1: A New Dataset for Cross-view Image Geolocalization

Cross-view image geolocalization (CVIG) is geolocating a photograph by comparing it to satellite imagery. Learn how we built a new CVIG dataset using satellite images from SpaceNet and photographs from Flickr.

Where in the World Report

Details both the limitations we found to current cross-view image geolocalization methods on real world data, as well as suggestions for further model performance improvement.

AI Assurance: Do deepfakes discriminate?

Discover how IQT Labs conducted an audit of FakeFinder, an open-source deep learning tool for detecting deepfakes, following an AI Ethics Framework and partnering with BNH.AI to examine bias in its models.

Software Nutrition Labels: Scaling Up with Anaconda Python

Discusses how IQT Labs scaled up the Software "Nutrition Label" prototype to analyze the Anaconda Linux/Python 3.9 ecosystem.

AI Assurance: An "ethical matrix" for FakeFinder

Discover how IQT Labs evaluated FakeFinder, a deep learning tool for identifying deepfakes, focusing on ethics using the Intelligence Community's AI Ethics Framework.

Measuring Global Bio-Power: The Strengths and Limits of Using Software Metadata to Analyze Worldwide Technical Trends

Interested in global technology trends but tired of the shortcomings of patent and citation data? Learn how IQT Labs analyzed global bioinformatics trends using software metadata.

Software Nutrition Labels: An AI Assurance Application

Since software supply chains are often opaque and complex, IQT Labs recently explored the concept of an Software "Nutrition Label" as part of our AI Assurance work.

Future of Work Part 2: Dignity of Work

Explores the multifaceted concept of dignity in work, from economic stability to autonomy and purpose, in this thought-provoking blog discussing the impact of work on human dignity and society.

The Geopolitics of Digital Currency

Argues that national security implications of Central Bank Digital Currencies must be primary considerations of U.S. policymakers.

AI Assurance: A deep dive into the cybersecurity portion of our FakeFinder audit

Delve into the technical aspects of our FakeFinder audit, specifically focusing on cybersecurity as we navigate the AI Ethics Framework for the Intelligence Community.

Synthesizing Robustness YOLTv4 Results Part 2: Dataset Size Requirements and Geographic Insights

Part 2 of YOLTv4 results for the Synthesizing Robustness project, detailing dataset size requirements and geographic insights.

AI Assurance: What happened when we audited a deepfake detection tool called FakeFinder

Explores the first installment of our FakeFinder audit series, offering a comprehensive overview of our approach and findings, with upcoming posts delving into cybersecurity, ethics, and bias testing.