ASU researchers bridge security and AI

In that regard, I also develop neuro-symbolic approaches to teaching AI systems. In creating PyReason, my collaborators and I wanted to create the best possible logic platform for working with machine learning systems. NG: I have been curious about learning systems related to control and robotic applications since my undergraduate degree studies. Large language models are crucial in generating computer code, and that’s likely to be the most game-changing, impactful result. Large language models are going to help researchers continue to act as engines of innovation, particularly here in the U.S. where these tools are readily available.