NYU Advances Robotics with Nvidia DGX-1 Deep Learning Supercomputer

In this video, NYU researchers describe their plans to advance deep learning with their new Nvidia DGX-1 AI supercomputer. New York University’s Center for Data Science is at the cutting edge of fields with revolutionary implications such as machine learning, natural language processing, computer vision and intelligent machines. Because computing speed is critical to accelerating experimentation and advancing research, the center’s Computational Intelligence, Learning, Vision and Robotics (CILVR) lab recently acquired a DGX-1  to fuel this work like never before. The CILVR lab has “unsupervised learning” as its focus. The lab’s faculty, research scientists and graduate students are developing techniques that allow machines to learn from raw, unlabeled data by, for example, observing video, looking at images or listening to speech. These techniques are then applied to computer vision applications like self-driving…


Link to Full Article: NYU Advances Robotics with Nvidia DGX-1 Deep Learning Supercomputer