Martin Wattenberg works with computational information visualizations and one project that was particularly interesting to me was the one about machine learning. In this project he used the Embedding Projector, which is a visualization tool for high-dimensional data which he helped create. The algorithms generate the work by using the input data to computational visualize and display the information. Martin co-founded Google People + AI Research which has worked toward further understanding and improving human / AI interaction. The key goals of his research and projects into machine learning are to broaden interaction within AI and computational representation tools. The Embedding Projector is what’s shown above and is a key for creating interactive exploration into high-dimensional data. This type of interaction allows new patterns and connections can be made within the data as it’s visualized in various ways. Ultimately the artist’s sensibilities are able to be specific to each data set as it can be visualized in different ways.