This course provides an overview of machine learning in the age of big data, cloud computing, and our data-saturated society. Business leaders will learn of the various types of machine learning, and how they can be used with a variety of enterprise data holdings and publicly available data to develop deeper insights in the business environment; understand basic computational intelligence paradigms, and how machine learning is integral to the field; learn the technical vocabulary and high-level concepts of machine learning in a manner that demystifies the topic and enables them to ask the right questions on the deployment of machine learning into business operations. Speaker: Grant Scott, Assistant Professor in the Center for Geospatial Intelligence (CGI) and the Electrical Engineering and Computer Science Department, University of Missouri Co-sponsored by: Continuing Education Committee of the Educational Activities Board of the IEEE Virtual: https://events.vtools.ieee.org/m/365740

Abstract: There is increasing need for more electric power on current and future aerospace platforms. GE Electric Power, a GE Aerospace business, continues to make investments and develop new technologies and products to support these increasing demands. GE Electric Power is headquartered in Dayton, OH at the GE EPISCenter, a state of the art electrical power integration facility. This presentation will overview the business, products, EPISCenter capabilities, and general discussion on industry trends for more electric power. Parking: (FREE) Park in the lot on the North side of the building. Proceed to the building entrance doors adjacent to the parking lot. Agenda: 5:00 pm - 6:00 pm Light refreshments networking 6:00pm - 7:00pm Sean's talk 7:00pm - 7:30pm Q&A, Picture together Room: Marshall room, DJC N1840, North Lobby, Bldg: Curran Place, 1700 South Patterson Blvd, University of Dayton Research Institute, Curran Place, Dayton, Ohio, United States

Semiconductor microelectronic chips are critical components in defense C4ISR and weapon systems. Department of Defense (DoD) needs to have an assured supply of advanced microcroelectronic chips, in peacetime and wartime. Since DoD itself normally does not make the chips, DoD depends on the semiconductor industry to produce the needed chips. DoD uses a variety of chips, many are commercial-off-the-shelf (COTS) and some are classified and defense-unique chips. The semiconductor industry, although originally created by DoD, for several decades has gradually moved off-shore, including fabrication, testing, and packaging. The U.S. market share of global semiconductor manufacturing capacity has fallen from about 38% in 1990 to 12% in 2020. TSMC in Taiwan is the world’s largest semiconductor chip manufacturer, supplying 92% of worlds sub-nanometer advanced chips. To bring semiconductor manufacturing back to the U.S., Congress passed the CHIPS and Science Act to reshore semiconductor manufacturing to the U.S. The CHIPS Act authorizes more than $200B, and immediately appropriates $53.7B, in federal funding to promote domestic semiconductor manufacturing production, DoD allocated $2B as a part of the CHIPS Act. DoD's Microelectronics Commons initiative selected eight regional innovations hubs that include a large number of members in the industrial base. The objective of these hubs, called “lab to fab”, is to speed up the transition of microelectronics from research to prototyping to production, and is focused on strengthening the defense microelectronics industrial base. Speaker(s): Dr. Clifford Lau, Room: Auditorium, Bldg: Arlington Central Library, 1015 North Quincy Street, Arlington, Virginia, United States, Virtual: https://events.vtools.ieee.org/m/376101