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.
Students can use AI as a building block for scientific exploration and fashion unique research directions– developing approaches at the intersection of AI and Chemistry to broaden their understanding and intellectual impact to this domain. For example, adapting AI techniques to explore problems in molecular design and drug discovery. Students will create computational solutions for the expanding world of problems in chemistry, medicine, and more. For more information: Visit inspiritinnovators.com and see our AI + Chemistry flyer.
Applications are now open. If you have any questions, please feel free to contact Adeesh Goel or call +1 (803) 859-5855.