Thus far in our ongoing series on artificial intelligence we’ve spoken in depth on questions of trust, human perception, and limitations of generative models. We have focused specifically on large language models (LLMs), due in part to their recent successes and media attention. We’ve explored questions of data, testing, and broad model implications. However, LLMs […]
“We assume that the neuron is the basic functional unit, but that might be wrong. It might be that thinking of the neuron as the basic functional unit of the brain is similar to thinking of the molecule as the basic functional unit of the car, and that is a horrendous mistake.” – John Searle […]
The public release of ChatGPT3 and DALL-E 2 radically changed our expectations for the near future of AI technologies. Given the demonstrated capability of large generative models (LGMs), the ways in which they immediately captured public imagination, and the level of publicized planned capital investment, we can anticipate rapid integration of these models into current […]
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 […]
At the Mining Software Repositories (MSR2022) conference in May, we presented our LAGOON tool resulting from the DARPA SocialCyber AIE, and led a discussion session on reducing complexity of machine learning. LAGOON provides a comprehensive platform for analyzing and investigating open-source software (OSS) communities for potentially malicious contributors. This is accomplished by ingesting multiple types […]
This blog post derived from a presentation given 2021-11-12 at a workshop for the University of Southern California’s Center for Autonomy and Artificial Intelligence. Black-box machine learning (ML) methods, often criticized as difficult to explain, can derive results with an accuracy that matches or exceeds human ability on real-world tasks. This has been demonstrated in […]
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 […]
Machine learning has revolutionized cyber-physical systems (CPS) in multiple industries – in the air, on land, and in the deep sea. And yet, verifying and assuring the safety of advanced machine learning is difficult because of the following reasons: State-Space Explosion: Autonomous systems are characteristically adaptive, intelligent, and/or may incorporate learning capabilities. Unpredictable Environments: The […]
We take pride in personally connecting with all interested partners, collaborators and potential clients. Please email us with a brief description of how you would like to be connected with Galois and we will do our best to respond within one business day.