Applied Neurosymbolic AI
We focus on AI that can be used in practice. Our architectures are designed to bring neural and symbolic techniques together so that systems can both interpret complex inputs and reason over them in a structured way.
Our work is grounded in the practical deployment of advanced AI, with a continuing interest in the next generation of computational methods.
We focus on AI that can be used in practice. Our architectures are designed to bring neural and symbolic techniques together so that systems can both interpret complex inputs and reason over them in a structured way.
These methods are being applied to general workflows and to the understanding of spreadsheets, where interpretation, structure, and operational intent all need to be handled together.
We also have a theoretical research interest in quantum computing, although this is not yet mature enough to apply within our applications.
We see it as part of the mid-term future rather than something ready for present-day deployment.
Read our white papers here:
Downloadable PDF white papers will be listed here.