Now showing items 1-5 of 5

    • Automated Telescience: Active Machine Learning Of Remote Dynamical Systems 

      Ly, Daniel (2013-08-19)
      Automated science is an emerging field of research and technology that aims to extend the role of computers in science from a tool that stores and analyzes data to one that generates hypotheses and designs experiments. ...
    • Behaviors, Interactions, And Communities In Networks 

      Kloumann, Isabel (2016-05-29)
      Exciting and unexpected patterns can emerge when systems are highly connected, even when they are composed of the simplest objects. In this thesis we investigate how networks of people, oscillators, apps, and nodes can be ...
    • Deep Learning For Robotics 

      Lenz, Ian (2016-02-01)
      Robotics faces many unique challenges as robotic platforms move out of the lab and into the real world. In particular, the huge amount of variety encountered in real-world environments is extremely challenging for existing ...
    • Hallucinated Humans: Learning Latent Factors To Model 3D Environments 

      Jiang, Yun (2015-08-17)
      The ability to correctly reason about human environment is critical for personal robots. For example, if a robot is asked to tidy a room, it needs to detect object types, such as shoes and books, and then decides where to ...
    • Improving Memory And I/O Systems Through Foresight 

      Mukundan, Janani (2014-01-27)
      Traditionally, DRAM scheduling techniques have been optimized for performance. Only recently has there been a push for improving other optimization metrics, such as energy efficiency, power, or fairness. A multitude of ...