IEEE MOVE Global is an emergency response program dedicated to assisting natural disaster relief efforts with short-term communication and power solutions. The program provides essential services such as internet access, mobile phone charging, and lighting to help people stay connected during disasters. When not deployed for emergency relief, IEEE MOVE Global engages in community outreach and STEM education. The IEEE MOVE India program, initiated by the IEEE India Council Region 10 in collaboration with state disaster agencies and NGOs, focuses on disaster response efforts in India. This talk will highlight MOVE India's activities, including disaster awareness and STEM workshops conducted across the country. These workshops emphasize disaster preparedness, climate change, and sustainability, aiming to educate and empower students to create a safer, more resilient future. The session will also showcase the launch of STEM kits designed to educate students about climate change and sustainability. Additionally, the talk will provide a preview of the MOVE India Truck, set to launch in 2025. This mobile vehicle, equipped with communication and power equipment, will play a key role in supporting disaster relief operations in India. Co-sponsored by: IEEE-USA MOVE Program Speaker(s): Sadhana Attavar Virtual: https://events.vtools.ieee.org/m/463712

End of academic year celebration between the IEEE and SWE RSOs. Co-sponsored by: Dean of College of Science, Engineering & Technology 7400 Bay Rd, University Center, Michigan, United States, 48710

Lead an engaging, informative, and interactive conversation about the Institute of Electrical and Electronics Engineers (IEEE). This discussion will cover the history of IEEE and the Milwaukee section which started in 1910! Membership discussion will focus on lifepath goals, including professional leadership efforts, student/associate member, SR member, and the ultimate goal of fellowship. A look at our local society chapters and affinity groups. Including Magnetics, Electromagnetic Compatibility Society, Computer Society, Women in Engineering, Engineering in Medicine and Biology Society, Power and Energy Engineering Society, Education Society, and many more. Co-sponsored by: Marquette University Speaker(s): Chris Lambrou Room: 202, Bldg: Olin, 1511 W Wisconsin Ave, Milwaukee, Wisconsin, United States, 53233

J. Robert Oppenheimer was brilliant, arrogant, proud, charismatic — and a national hero. Under his leadership during World War II, the United States succeeded in becoming the first nation to harness the power of nuclear energy to create the ultimate weapon of mass destruction — the atomic bomb. But after the bomb brought the war to an end, in spite of his renown and his enormous achievement, America turned on him, humiliated him, and cast him aside. The question this film asks is, “Why?” AMERICAN EXPERIENCE presents The Trials of J. Robert Oppenheimer, featuring Academy Award-nominated actor David Strathairn (Good Night and Good Luck, The Bourne Ultimatum) as Robert Oppenheimer. From multiple Emmy Award-winning producer David Grubin (RFK, LBJ, Abraham and Mary Lincoln: A House Divided), The Trials of J. Robert Oppenheimer features interviews with the scientist’s former colleagues and eminent scholars to present a complex and revealing portrait of one of the most important and controversial scientists of the twentieth century. The two-hour film traces the course of Oppenheimer’s life: his rarefied childhood, his troubled adolescence, his emergence as one of America’s leading nuclear physicists, his leadership of the Los Alamos laboratory, and his tragic humiliation. { note: originally broadcast as part of American Experience , Running Time: 1 hr 45 min } AFTER the documentary - we can have a brief discussion session. NOTE: You must supply your own soda pop and popcorn! :-) Trivia may also follow, so bring your Jeopardy hats too! Agenda: 6:00 PM - Welcome and Introductions, Chapter business update; (on your own) Pizza, Popcorn and Soda Pop 6:05 PM - Documentary 7:45 PM - End of Documentary; Start of Q & A; Group Discussion 7:59 PM - Wrap Up ALL times are in EST/EDT (UTC-4 or UTC-5) depending upon local day light savings times in when effect Virtual: https://events.vtools.ieee.org/m/479009

IEEE Twin Cities Sensor Council Chapter and IEEE Twin Cities Instrumentation & Measurement Society will be hosting two distinguished speakers on April 22nd, 2025. The talks will be followed by reception (food and drinks) - Prof. Rajesh Rajamani, Benjamin Y.H. Liu / TSI Applied Technology Chair, Department of Mechanical Engineering, University of Minnesota: "Home-Based Activity Monitoring in Parkinson’s Disease using Wearable Sensors" - Prof. Chetan S. Kulkarni, KBR Inc, Diagnostics and Prognostics Group, Intelligent Systems Division, NASA Ames Research Center, Moffett Field and IEEE I&M Distinguished Lecturer: "Model Based Approaches for Fault Detection, Prognostics, Decision Making in Complex Systems" Everyone is invited Speaker(s): Rajesh Rajamani, Chetan S. Kulkarni Bldg: Walter Library 402, 117 Pleasant St SE , Minneapolis, Minnesota, United States, 55455, Virtual: https://events.vtools.ieee.org/m/473555

Distributed Machine Learning for FPGAs in the Cloud Machine Learning (ML) is a growing area in both research and applications. Trends include larger and larger ML models and the interest in getting results from ML with low latency and high throughput. To address these trends, researchers are increasingly looking at accelerators (such as Graphics Processing Units (GPUs) and Field Programmable Gate Arrays (FPGAs), especially those that are directly connected to the network to achieve low latency access to data. In this talk, I will introduce the Open Cloud Testbed (OCT): https://octestbed.org/ OCT is available to researchers who are interested in conducting cloud research with accelerators. We provide GPUS, FPGAs, and AI engines from AMD. The FPGAs and AI engines are directly connected to the network. I will discuss experiments on using OCT for distributed ML using multiple network connected FPGAs. Specifically I will present results for running Resnet50 inference on the imagenet dataset. No hardware knowledge is assumed for this webinar. Speaker(s): Miriam Virtual: https://events.vtools.ieee.org/m/473027