Project-based interdisciplinary AI education fellowship with City Tech student

Please find the fellowship opportunity as follows:

Dr. Nakamura

———————-

AI + Engineering: AI Innovation Fellowship in Machine Learning (Summer 2022)

The AI Innovation Fellowship in Machine Learning equips students with state-of-the-art machine learning techniques like Regression, Classification, Unsupervised Learning, Natural Language Processing, Neural Networks, and Convolutional Neural Networks.  Leveraging these new tools, students build out a professional portfolio with a capstone project, AI + X, that draws on students’ unique interest and domain expertise. Engineers can integrate AI techniques into any discipline to devise intelligent solutions to practical problems. For example, students can devise AI models for object detection and navigation that are used in self-driving cars– applying domain knowledge and engineering skills to uniquely devise an impactful system used in everyday technologies. For more information, please visit inspiritinnovators.comApplications are now open. If you have any questions, please feel free to contact Adeesh Goel at adeesh@alumni.stanford.edu or call +1 (803) 859-5855.