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 the neuroscience-inspired artificial intelligence platform company Nara Logics. An experienced tech exec focused on inspiring teams to build great products, Jana has started and grown companies and led large organizations at public companies. She’s active in customer-inspired innovation, the artificial intelligence industry, the autonomy-mastery-purpose-style leadership, and running and triathlons. Previously, she held technology and executive positions at Intuit, Blackbaud, Los Alamos National Laboratory (computational chemistry and super computing), Basis Technology (internationalization technology), Lycos, American Airlines, Spreadshirt (ecomm), and startups that you’ve never heard of.
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