The Need for Speed: Revolutionizing CPS Design with AI

For more than two decades, the Need for Speed (NFS) video game franchise captured the hearts of young gamers across the globe with its high-octane thrills, heart-pounding car chases, and the adrenaline rush of illegal street racing. Yet for many, especially those who played the earliest iterations in the late ‘90s and early 2000s, NFS […]

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Generative AI for Specifications 

System engineering involves a delicate interplay between three tasks: specification (what a system should do); implementation (what a system actually does); and verification (determining whether they agree). Already, novel generative AI technologies have emerged that can assist with implementation and verification (e.g., respectively, Microsoft’s CoPilot, and formal verification tools developed on DARPA’s PEARLS Artificial Intelligence […]

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Prevent the Next XZ Incident: Galois’s LAGOON Tool Offers an Answer to Open-Source Software Threats

In March, 2024, researchers discovered a backdoor hidden in an update of open-source Linux tool XZ Utils – a vulnerability that appears likely to be the result of a multi-year, state-sponsored supply chain attack. This latest close call is only the most recent in a growing history of incidents underscoring the fragility of a modern […]

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Using AI to Combat Illegal Fishing 

Illegal, Unreported, and Unregulated (IUU) fishing represents a significant global threat to our shared natural resources, undermining the sustainability of fish stocks, damaging ocean ecosystems, and robbing nations of their natural heritage and economic foundation. Nowhere is this challenge more acute than in the Galapagos Marine Reserve (GMR), a biodiversity hotspot of extreme ecological significance. […]

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Using GPT-4 to Assist in C to Rust Translation

At Galois, we have been experimenting with multiple Large Language Models (LLMs), including GPT-4. Part of the motivation for this is to continue increasing the accessibility and utility of our formal verification and software assurance tools. While these tools provide high assurance for critical software, they can require significant expertise or time to extract full […]

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Can we digitally engineer expertise for the masses? 

Organizations seeking to integrate digital-first practices into their engineering processes often rapidly discover a common roadblock: critical dependencies on the individual expertise of specific employees embedded in legacy workflows. Discovering this issue has prompted some to ask what role might generative technologies play in supporting digital engineering transformation efforts: “Can they help us reduce reliance […]

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Ontology, AI, and Human-Machine Teaming: How Does a Machine Know What We Mean?

We’ve all seen it—a couple on a date, politicians, friends, or colleagues talking right past each other, trapped in a moment of profound misunderstanding over the meaning of a single word. For me, that moment came when my partner, a New Yorker through and through, told me, a Midwesterner, to take “the next left” while […]

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