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 […]
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 […]
The machine learning discourse has been understandably dominated of late by language modeling tools such as Chat-GPT. But machine learning can be applied to a much wider range of contexts, inputs, and applications. One of the most fascinating, and most useful, of these is Computer Vision – the machine learning field focused on analyzing and […]
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. […]
Researchers at Galois have developed DLKoopman – an open-source software tool that uses machine learning to model and predict the behavior of complex, difficult-to-analyze systems. DLKoopman models a system from limited data, and then predicts how it is going to behave under unknown, often unmeasurable conditions, such as the pressure on a submarine at unknown […]
The world was taken by storm when the International Consortium of Investigative Journalists (ICIJ), along with other media bodies, released millions of documents exposing financial chicanery and political corruption. The leaks detailed how prominent people, such as Icelandic Prime Minister Sigmundur Davíð Gunnlaugsson, used offshore entities for illegal activities. Perhaps the most famous of these […]
Galois is innovating ways to create accessible data models or make existing data models actionable during a crisis like COVID 19. I blogged about this in April and, more specifically, in October when I wrote about our AMIDOL project. This month, I wanted to talk about our exciting work with SuperMaaS – a modeling-as-a-service (MaaS) […]
We’re pleased to announce Galois’s LINK project, part of DARPA’s Computable Models (COMPMods) program. The project aims to make it easier for scientists to build multiphysics models with an end-to-end, automatic, and portable solution. Multiphysics models are challenging to create, customize, and reuse. One problem is the software and hardware are often outdated, which makes […]
We wanted to update our April 2020 blog post which discussed the goal of creating open and accessible COVID 19 data models. I’m pleased to report that Galois’s Agile Metamodel Inference using Domain-specific Ontological Languages (AMIDOL) project began its third phase in May 2020. The entire AMIDOL project has been a great success. The project funding […]
Projections based on data models for COVID-19 are serving as a critical foundation for Federal, state and local government policy makers charged with making rapid and informed decisions to fight the spread of the novel coronavirus. Data models like the model presented by researchers at Imperial College London on March 16, which many believe led […]
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