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

Set Sail with IEEE-USA! Join us 16-20 October 2023 aboard Royal Caribbean’s Independence of the Seas for a 4-night cruise from sunny Orlando, Florida (Port Canaveral), to the tropical beauty of the Bahamas, as IEEE-USA celebrates 50 years of service to U.S. IEEE members. Our celebration cruise will feature exclusive events, food and live entertainment, nightly group dining, four informative, fast-paced and insightful “Lightning Sessions” on a variety of interesting topics, and scheduled meet-ups, but you’ll also have time to enjoy everything this remarkable ship has to offer. We’ll be cruising in style from Port Canaveral to stops in Nassau and CocoCay, before concluding our cruise back in Port Canaveral. Details: (https://cruise.ieeeusa.org/) Bldg: Cruise Terminal #1, Port Canaveral , 9050 Discover Place, Port Canaveral, Florida, United States, 32920

Grayson Randall will provide an overview of the IEEE MOVE Program. Join us to learn about the mission and technology of the MOVE program. The IEEE MOVE volunteers respond to the hardest hit disaster areas to quickly provide the power and communications to the people impacted by a disaster. When not responding to disasters, MOVE provides public outreach and STEM education at schools, universities, IEEE events and public events. Speaker(s): Grayson Randall, Virtual: https://events.vtools.ieee.org/m/379262

External factors unrelated to technology that include global pandemics and wars have influenced the development and applications of technology. As a result, the world has transformed itself and it continues to evolve and reinvent itself through technology. Technology is a key enabler of global transformation driven by comprehensive developments, often called “Megatrends.” Megatrends coalesce around multiple interacting or mutually dependent developments, last for a long time, and have broad impacts not just to technology, but to business, society and the environment. Simply put, they impact all of humanity. In this talk we present predictions of individual technology developments as well as megatrends. Co-sponsored by: Center of Excellence Wireless and Information Technology at Stony Brook University Speaker(s): Dejan Milojicic, Virtual: https://events.vtools.ieee.org/m/374982

October EXCOM meeting. Agenda forthcoming. ***CANCELED*** Bldg: Slatt's Pub, 4858 Cooper Road, Blue Ash, Ohio, United States, 45242

Dr. Kott will discuss two major roles of AI, how they are evolving and what drives that inevitable evolution. The first role is the enabler of lethal (or indirectly lethal) autonomy, the growing reality of the modern battlefield. The second role is the enabler of the new generation of battle command. These roles will (and already begin) grow more profound and dominant. he will explore the reasons of why these trends are unavoidable regardless of policy debates. Historical illustrations and lessons of recent and ongoing conflicts will help the discussion. Speaker(s): Alexander Kott, PhD, Agenda: 6:30 PM Welcome and introduction 6:35 PM Presentation 7:20 PM Q&A 7:30 PM Conclude Virtual: https://events.vtools.ieee.org/m/376732

We have Dr. Charlie Baylis from Baylor University visiting this Wednesday (Oct. 18) to recruit for grad school and to give a talk about his research in the evening. He will have a table in the atrium where you can interact with him during the afternoon. Note that grad school is fully paid for through the research scholarships paid through the research advisor's grant. 525 S Main St Unit 1, Engineering Building Activities Room 103, ADA, Ohio, United States, 45810

We have Dr. Charlie Baylis from Baylor University visiting this Wednesday (Oct. 18) to recruit for grad school and to give a talk about his research in the evening. He will have a table in the atrium where you can interact with him during the afternoon. Note that grad school is fully paid for through the research scholarships paid through the research advisor's grant. 525 S Main St Unit 1, Engineering Building Activities Room 103, ADA, Ohio, United States, 45810

Lehigh Valley IEEE Women in Engineering is hosting a virtual speed networking event for students at 6:30pm on Wednesday October 18th. Students will have the opportunity to present their “elevator pitch” to a number of Lehigh Valley professionals acting as networking coaches. The event will use Zoom breakout rooms to rotate the students through several coaches over the course of the event. The event offers a safe space for students to hone their interviewing skills while expanding their professional network. To participate, each student must be ready with a 3 minute “elevator pitch” to introduce themselves to each networking coach, explain who they are, what they are interested in, and what they are looking for. Each coach will provide feedback and help to refine the student’s pitch. Please note: spaces are limited, so we kindly request that you register only if you are committed to attending. Don’t miss out on this fantastic opportunity to boost your networking skills! Note also that students must be 18 or older to participate. Virtual: https://events.vtools.ieee.org/m/377135