Overview We think that Rust is a great language, and maybe you agree! Unfortunately, even if you do, there’s a good chance whatever application you’re working on is written in some older language such as C. To help with this, Galois has been developing c2rust, an automated transpiler (source-to-source translator) from C code into Rust […]

Imagine a remote pilot in the field, who has a time-sensitive mission, and whose main aerial platform (aircraft) has been compromised. The pilot has a collection of other aerial platforms that could potentially be used as alternatives, along with various sensor payloads, any one of which can be attached to a platform. A decision must […]

Understanding large code bases is hard. It can take months for an experienced engineer to get comfortable navigating and manipulating large software projects. At Galois, we’re developing tools to generate 3D representations of code bases visualized as cities to help engineers get oriented faster, and to develop a shared visual reference for team conversations and […]

Galois recently completed its work on DARPA’s Securing Information for Encrypted Verification and Evaluation (SIEVE) program, which sought to “advance the state of the art in Zero Knowledge Proofs (ZKPs) to enable complex, DoD-relevant applications.” Over the course of working on SIEVE, our research pushed ZKP performance forward significantly, making the task—once considered far too […]

Nuclear power plants in the United States are part of what the Department of Homeland Security identifies as “nationally critical infrastructure,” a category that also includes our vast transportation network, water systems, electrical grids, and more. For decades, even as other parts of the nation’s infrastructure began using computers, American nuclear power plants avoided integrating […]

Self-organizing maps, or SOMs, are a category of machine-learning (ML) algorithm used for clustering data points with similar variables. They are useful both for exploring the structure of unlabeled data sets and for creating classifiers for complex, messy data that may be problematic for more traditional ML algorithms. This is because they lend themselves to […]

Near the end of 2020, like many folks, I began thinking critically about what I wanted out of work. At that point, I had been in the People Ops/HR space for seven years, fortunate to have worked at several great companies and grown my experience. However, after interviewing around, I found myself doubtful that I’d […]

In 2003, just as the invasion of Iraq was heating up, the U.S. Army reached out to the University of Minnesota’s Center for Distributed Robotics (CDR). They needed compact robots capable of providing real-time reconnaissance and situational awareness for troops on the ground. The CDR, the army knew, was already engaged in developing advanced remote-controlled […]

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 […]

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 […]