IEEE North Jersey Section

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

This lecture will provide an introduction to electronic warfare (EW) concepts and principles. The intent is familiarize the audience with EW concepts and achieve an understanding of how EW is used to interrupt radar processing chains. This will include a general discussion on the EW field, including applications outside radar specific uses and terminology widely used within the field. A historical development of the EW field will be presented to motivate importance and historical use. Basic EW techniques (e.g. noise, range/velocity techniques, etc.) with associated effects on nominal radars will be presented/discussed to ensure an understanding of the technical underpinnings of EW. Building on the basic techniques, a brief discussion on concepts in advanced EW systems and current research will be presented. The discussion will conclude by briefly presenting the revolutionary impact of cognitive and AI/ML processes on EW, which will serve as a lead in to Karen Haigh's discussion on Cognitive EW. Co-sponsored by: IEEE North Jersey Section Speaker(s): David Brown, Agenda: Please RSVP to (mailto:nicole.zaretski@l3harris.com?subject=RSVP%20AOC%2024%20Jan%20L+L) (President, AOC Garden State Chapter), and indicate if you plan to attend in person or virtually, by COB Friday, 18 April to secure your place. The online presentation will begin promptly at 12:00 noon, but virtual attendees should sign in early to ensure they are able to connect to the web event. Bldg: Auditorium, L3 Harris Technologies, 77, River Road, Clifton, New Jersey, United States

Exciting Opportunity for High School Students! IEEE Future Networks is thrilled to announce the "Class to Career Chronicles" University Talk and Tour at select New Jersey universities, partnering with IEEE North Jersey Section. These events are designed to inspire and educate high school students about the future of technology, education, and career opportunities in the field. Teachers, this is a fantastic chance to sign up your students for an enriching experience that provides answers to “what happens after I graduate from high school?” Seton Hall University, 400 S Orange Ave, South Orange Village, New Jersey, United States, 07079

Exciting Opportunity for High School Students! IEEE Future Networks is thrilled to announce the "Class to Career Chronicles" University Talk and Tour at select New Jersey universities, partnering with IEEE North Jersey Section. These events are designed to inspire and educate high school students about the future of technology, education, and career opportunities in the field. Teachers, this is a fantastic chance to sign up your students for an enriching experience that provides answers to “what happens after I graduate from high school?” Montclair State University, 1 Normal Ave, Montclair, New Jersey, United States, 07043