Workshop: Common Task Framework for Science and Engineering

Machine learning and AI are used broadly in science and engineering, with a tremendous diversity of architectures and algorithms being developed across disciplines and applications. The AI Institute in Dynamic Systems aims to build a common task framework (CTF) for evaluating algorithms with an overarching goal to develop a taxonomy of enabling architectures and algorithms for the various tasks required in applications, including estimation, forecasting, sensing and control. This is in keeping with our mission to build and support sustainable challenge data sets for evaluating tools for solving modern problems in science and engineering.

Join us in person (or online) for our workshop on the CTF for Science and Engineering!