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checks that comply with IRB/ethical standards. Design and implement computer-vision algorithms. Develop, test, and refine deep-learning models (e.g., detection, segmentation, tracking) in PyTorch
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in collaboration with esteemed institutions such as Carnegie Learning and Stanford University, under the guidance of Prof. Ken Koedinger, Prof. Vincent Aleven, and Shiv Gupta. What sets PLUS apart is
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assistance to program activities and coordinates key meetings and events for the senior project personnel. Arrange and attend essential project meetings, take meeting notes, distribute and archive notes along
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. Distinguished Faculty Mentors Carnegie Bosch Fellows will benefit from the unique opportunity to be mentored by pioneering leaders in their respective fields. Prof. Tom Mitchell (Founders University Professor in
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We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis. The successful candidate will investigate new algorithms and models for analyzing
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assistance to program activities and coordinates key meetings and events for the senior project personnel. Arrange and attend essential project meetings, take meeting notes, distribute and archive notes along
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in the following areas: · AI/ML Algorithm Attack Research: Study threat models targeting AI/ML algorithms, identify weak points, and design novel ways to subvert AI/ML systems. · AI/ML
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in the following areas: · AI/ML Algorithm Attack Research: Study threat models targeting AI/ML algorithms, identify weak points, and design novel ways to subvert AI/ML systems. · AI/ML
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, etc., and with outside organizations. Assists in the research, preparation, and processing of information. May oversee student workers through distribution of work and review of work progress
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Responsibilities: Assist in research and development of computer vision-based tools and prototypes. Implement and test algorithms using OpenCV and related libraries. Design and iterate on intuitive and efficient