MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

We develop an experimental framework to identify the belief-based and taste-based drivers of demand for Environmental, Social, and Governance (ESG) partnerships. Our study implements two symmetric ...

This article proposes a new algorithm based on coefficient compression, which can be used for the design and implementation of various FIR filters, to address the proble ...