Jennifer Marsman
30 days ago
Jennifer Marsman, Game of Drones:
Social Media
Machine Learning
Computer Engineering
Computer Science
Jennifer Marsman is a Principal Software Development Engineer in Microsoft’s Developer and Platform Evangelism group, where she educates developers on Microsoft’s new technologies. In this role, Jennifer is a frequent speaker at software development conferences around the world. In 2016, Jennifer was recognized as one of the “top 100 most influential individuals in artificial intelligence and machine learning” by Onalytica. She has been featured in Bloomberg for her work using EEG and machine learning to perform lie detection. In 2009, Jennifer was chosen as “Techie whose innovation will have the biggest impact” by X-OLOGY for her work with GiveCamps, a weekend-long event where developers code for charity. She has also received many honors from Microsoft, including the “Best in Role” award for Technical Evangelism, Central Region Top Contributor Award, Heartland District Top Contributor Award, DPE Community Evangelist Award, CPE Champion Award, MSUS Diversity & Inclusion Award, Gold Club, and Platinum Club. Prior to becoming a Developer Evangelist, Jennifer was a software developer in Microsoft’s Natural Interactive Services division. In this role, she earned two patents for her work in search and data mining algorithms. Jennifer has also held positions with Ford Motor Company, National Instruments, and Soar Technology. Jennifer holds a Bachelor’s Degree in Computer Engineering and Master’s Degree in Computer Science and Engineering from the University of Michigan in Ann Arbor. Her graduate work specialized in artificial intelligence and computational theory. Jennifer blogs at http://blogs.msdn.com/jennifer and tweets at http://twitter.com/jennifermarsman.

Game of Drones: Using IoT, Machine Learning, Drones, and Networking to Solve World Hunger:
Drones are increasingly used in various commercial and consumer scenarios – from agriculture drones (providing farmers with crop and irrigation patterns) to consumer drones (that follow you around as you engage in action sports), to drone racing. Drones are outfitted with a large number of sensors (cameras, accelerometers, gyros, etc.), and can continuously stream these signals in real time for analysis.

This talk introduces the landscape of the various drone technologies that are currently available, and shows you how to acquire and analyze the real-time signals from the drones to design intelligent applications in an IoT pipeline. We will demonstrate how to leverage machine learning models that perform real-time facial detection along with predictions of age, gender, emotion, and object recognition using the signals acquired from the drones. You will walk away understanding the basics of how to develop applications that utilize and visualize these real-time insights.

This talk includes fun with drones, how to tackle the problem of world hunger, and some Game of Thrones silliness. It is targeted at data scientists, students, researchers, and IT professionals who have an interest in building intelligent applications using drones and machine learning. It will be a fun and exciting exploration as we demonstrate a drone with the power of recognizing faces, ages, genders, emotions, and objects. You will learn how to leverage these same machine learning models to imbue intelligence into drones or other applications.
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