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Seed grant award winner researches ways to tailor AI applications to Maine climate - UMaine Research

In July 2020, Salimeh Yasaei Sekeh was announced as one of four Seed Grant Award winners through the UMaine AI Initiative. Her project titled “Improved Adversarial Attack Detection Toward Robustness of Deep Neural Networks,” is currently in the first two phases of research and data analysis. Sekeh is an assistant professor of Computer Science in the School of Computing and Information Science. She is currently teaching a graduate-level course in machine learning while conducting research projects out of the Sekeh Lab.  Sekeh and her team are looking at deep neural networks, which is an artificial intelligence technique that simulates the human brain. They also study the shortcomings of these networks when faced with adversarial attacks.

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