According to Google Scholar’s assessment, arXiv represents 20% of the top 20 publications in AI, including cs.LG, stat.ML, cs.NE, and cs.AI. Using the publicly available interface to metadata on these papers, Jana Eggers and Elsie Kenyon built a diagram (or “connectome”) of how all the papers are connected across time, using computational neuroscience techniques to determine the strength of connections between papers, topics, authors, institutions, keywords, and more. Jana and Elsie draw on this diagram to provide an analysis of the strong and weak areas of coverage in AI knowledge, as well as growth areas and what looks novel. If there’s time, you’ll get the chance to query the connectome about your areas of interest.
Jana Eggers is CEO of Nara Logics, a neuroscience-inspired artificial intelligence company providing a platform for recommendations and decision support. A math and computer nerd who took the business path, Jana has had a career that’s taken her from a three-person business to fifty-thousand-plus-person enterprises. She opened the European logistics software offices as part of American Airlines, dove into the internet in ’96 at Lycos, founded Intuit’s corporate Innovation Lab, helped define mass customization at Spreadshirt, and researched conducting polymers at Los Alamos National Laboratory. Her passions are working with teams to define and deliver products customers love, algorithms and their intelligence, and inspiring teams to do more than they thought possible.
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