Researchers from Princeton University and Columbia University have released a dataset of 15 million 2D computer-aided designs to advance systems that can assist in designing real-world objects. The dataset includes the constraints for each design, such as if lines should create a particular angle. The dataset also includes the sequence in which an individual added shapes to a design, which can help machine learning systems predict the next steps in designing an object.
Automating the Design of Objects
Michael McLaughlin is a research analyst at the Center for Data Innovation. He researches and writes about a variety of issues related to information technology and Internet policy, including digital platforms, e-government, and artificial intelligence. Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He received his Master’s in Communication at Stanford University, specializing in Data Journalism.
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