Alfred University recently offered a short course on battery machine learning, with participation from various engineering students, including Abby Atnafe, Elijah Kahl, Jeonghyun Song, Liam Carstens, and Jack Byrnes. The course attracted students from different majors, showcasing the interdisciplinary nature of machine learning applications in the field of engineering. This initiative highlights Alfred University’s commitment to providing practical and diverse educational opportunities for its students, bridging the gap between theoretical knowledge and real-world applications in emerging technologies like battery machine learning.
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