By making interactivity native to the model, Thinking Machines believes that scaling a model will now make it both smarter and a more effective collaborator.

Abstract: Dynamic parameterization of the statistical characteristics of structural systems’ measured input and output data is an important task for the digital twin modeling and intelligent risk ...

Discover how input-output analysis reveals the interdependence of industries and their impact on a nation's economy, focusing ...

We describe an algorithm based on several novel concepts for synthesizing a desired program in this language from input-output examples. The synthesis algorithm is very efficient taking fraction of a ...

Newcomers are students who have recently arrived from other countries and speak a language other than English. While their experiences with education can vary, one commonality is that they have a ...

The master branch in that repo is supposed to be ready for use and might be ahead of the official releases. To install directly from the master branch use: A small test mrio is included in the package ...

Abstract: This article proposes a novel Q-learning algorithm that relies solely on input-output data to address the output regulation control problem of complex discrete-time systems affected by ...