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Thursday, December 2 @11 am
School of Mechanical and Materials Engineering Seminar Series, “Fabrication via Mobile Robotics and Digital Manufacturing”
Workshop / Seminar
Online

Each new generation of robotic fabrication tools has transformed manufacturing, enabling greater complexity and customization of the world around us. With the recent developments in additive manufacturing and mobile robots, several pressing questions have emerged. How can we use computational methods to expand the set of achievable material properties? How can we use mobile robots to do manufacturing? Finally, how can we use the answers from these questions to make robots more capable?

Wednesday, December 8 @11 am
Washington State University Press 30th Annual Holiday Book Fair
Social
Terrell Library Atrium

The WSU Press 30th Annual Holiday Book Fair highlights books published throughout the year and is open to everyone. Festivities include steep discounts of 20-50% on all titles, drawings for free books, and complimentary refreshments. Sale prices will be valid for phone and online orders throughout the Holiday Book Fair week, December 6 – 12, 2021.

Thursday, December 9 @11 am
Augmenting Clinical Decision Making with Artificial Intelligence: Dr. Jenna Wiens
Online

Though the potential of artificial intelligence (AI) in healthcare warrants genuine enthusiasm, meaningful impact will require careful integration into clinical care. AI tools are susceptible to mistakes and rarely capable of capturing all of the nuances pertaining to a complex clinical situation. Thus, we propose approaches designed to augment, rather than replace, clinicians during clinical decision making. In this talk, Associate Professor Jenna Wiens will highlight three related research directions pertaining to: i) a transfer learning approach for mitigating potentially harmful shortcuts when making diagnoses, ii) a simple yet accurate deterioration index that generalizes across hospitals and iii) lessons learned during deployment of a risk stratification tool for predicting healthcare-associated infections. In summary, there’s a critical need for machine learning in healthcare; however, the safe and meaningful adoption of these techniques will require collaboration between clinicians and AI.