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-edge technology on society, using machine-learning in optimizing networks components such as congestion control, and/or innovative usage of generative AI (e.g., stableDiffusion) in Web. The successful
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to predict traffic flow patterns in urban networks when parts of the network are cut due to inundation resulting from sea level rise (SLR), by using machine learning methods. Using these models, optimal
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research assistant to work on state-of-art research at the lab. There is a position available for 3 topics (applicants need to select one): 1) Private machine learning inference, 2) Industrial control
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, machine learning, artificial intelligence, etc. is a plus. Other preferred qualifications include: expertise in working with metal and composites 3D printers, large-scale/construction-scale commercial
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experience in natural language processing or computational linguistics/language technologies degrees; (b) strong programming and software engineering skills, and machine learning experience; and (c) some
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undergraduate student research or junior graduate students. A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as machine learning, artificial intelligence
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his team research on deep reinforcement learning, with the goal of making fundamental contributions in new algorithms and publishing in top machine learning venues. The team aims to make progress with
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and his team to research on deep reinforcement learning, with the goal of making fundamental contributions in new algorithms and publishing in top machine learning venues. The team aims to make progress
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Associate to join our team. The ideal candidate will have a strong background in robotics, machine learning, and computer vision, with a focus on developing advanced robotic systems. You will be responsible
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of this project is to add support for automatic code optimization in Tiramisu. In particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module