Qualcomm Research Netherlands was founded in September 2014 based on the acquisition of EUVision, a spinout from the University of Amsterdam (UvA). Our focus areas include cognitive technologies such as deep learning, computer vision, and always-on sensing, which will enable devices to perceive, reason, and act intuitively. We push these capabilities beyond smartphones to power other objects and things, including virtual reality, automobiles, healthcare, servers, and IP cameras. We collaborate closely with the Qualcomm Research headquarter in San Diego and several other locations worldwide. An example of our success in deep learning are the results of our participation at ImageNet competition.
Qualcomm Research Netherlands organizes the QINF Europe program, an annual fellowship competition for PhD students attending some of the best universities in Europe. More information here. We also sponsor a public lecture series focused on machine learning and related topics.
Qualcomm Research Netherlands supports and collaborates with QUVA, a joint lab with the University of Amsterdam leveraging machine learning for scene detection, object localization, and activity analysis in image and video. Other relevant topics include machine learning focused on generative models, distributed deep learning, and hyper-parameter optimization.
We are actively recruiting engineers with an interest and background in the areas of deep learning, recurrent neural networks, computer vision, and software engineering. To learn more about our group and current opportunities please check out the section below or visit www.qualcomm.com/careers and search for “Amsterdam”.
The series aims to provide technical talks given by highly recognized speakers in the broad field of deep learning. Speakers report on recent results or provide an overview on a specific topic. There will be 6-8 speakers per year.
New challenges in Reinforcement Learning
Research Scientist, Google
September 15, 2017, 14:00-15:00
University of Amsterdam
Science Park 904
1098 XH Amsterdam
In this talk, Oriol will describe some of the recent work that he and his collaborators have done at DeepMind in model based RL, and their recent work on StarCraft II, a strategy game which poses a new challenge for deep RL.
Oriol Vinyals is a Staff Research Scientist at Google DeepMind, working in Deep Learning. Prior to joining DeepMind, Oriol was part of the Google Brain team. He holds a Ph.D. in EECS from University of California, Berkeley and is a recipient of the 2016 MIT TR35 innovator award. At DeepMind he continues working on his areas of interest, which include artificial intelligence, with particular emphasis on sequences, deep learning and reinforcement learning.