What are Self-Organizing Maps?

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 […]

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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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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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Spinout Stories: MuseDev

While most engineers and scientists join Galois to be part of a company that conducts groundbreaking research, for our unique culture of collaboration, or for the great benefits and work-life balance, there’s a lesser-known but equally exciting perk of working at Galois: participating in the creation of spinouts.  Throughout my time as a research engineer […]

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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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