Chemical Engineering Colloquium, "(How) Does Biology Degrade Polyethylene? Adventures in Biological Degradation and Upcycling of Polyolefins", Mark Blenner, Ph.D., Thomas & Kipp Gutshall Career Development Associate Professor of Chemical and Biomolecular Engineering at the University of Delaware

Dr. Brigitte Servatius, MathematicsAbstract: AI and Calculus education: Is the use of generative AI in our Calculus labs a help or a hindrance?An AI research team at MIT seeks contributions of examples for the development of an interactive AI teaching tool designed to help students learn calculus through graphical illustrations. Many examples are needed to train the system, and examples should be tested. We'd like you to test one of our examples to start a discussion on the use of AI in the classroom/lab. In particular, we would like to hear about examples where graphs have been especially effective in your teaching; no need to restrict yourself to math.Bio: To learn more about Brigitte Servatius, go to her website.Please register by Thursday, September 25th, so we can finalize the headcount for lunch.

Looking for a way to make your day less stressful and more mindful...take some much-needed time for yourself and join us for Mindful Wednesdays! Drop-in meditation sessions are open to the entire WPI community, and no experience is necessary. A certified meditation teacher will offer guided meditations appropriate for both beginners as well as experienced meditators. People can join in person or via zoom.

Title:tiny Machine Learning Systems: From Hardware to Applications Abstract:The growing demand for intelligent devices at the edge calls for machine learning systems that are not only accurate but also resource-efficient. This talk presents recent advancements in tiny machine learning: a paradigm that brings AI capabilities to low-power, embedded platforms. We will explore how emerging computing models can be exploited to design lightweight, always-on learning systems. By co-designing hardware and software, we can push the boundaries of what is possible in constrained environments, enabling applications ranging from real-time health monitoring to secure embedded systems. Speaker:Sercan AygunAssistant Professor, School of Computing and Informatics, UL Lafayette Bio:https://www.sercanaygun.com/tml-ec-labDr. Sercan Aygun is an Assistant Professor at the School of Computing and Informatics at UL Lafayette. He leads the tiny Machine Learning and Embedded Computing Laboratory, focusing on lightweight and efficient AI systems powered by emerging computing paradigms. Dr. Aygun was a postdoctoral researcher at UL Lafayette prior to becoming a professor. He is a recipient of multiple research awards, Best Paper and Best Poster recognitions at GLSVLSI, Best Scientific Research Award at SRC of ESWEEK, Best PhD. thesis awards, Outstanding TPC at DAC'25, Best Reviewer of IEEE JETCAS, and the MLCommons Rising Stars in Machine Learning and Systems. Host: Professor Ulkuhan Guler

Live Stats

DIY Wednesdays are craft activities for you to de-stress and build social connections. This week, join us to make your own inspirational collage and frame! Drop-by, relax, have fun, and create with your friends or make new friends.