Women in AI Series 2025 – Distributed Machine Learning for FPGAs in the Cloud: Dr. Miriam Leeser

Virtual: https://events.vtools.ieee.org/m/473027

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

Advanced EW Systems with Machine Learning

Bldg 2 Lio Dr, Clifton, NJ, United States

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

2025 IEEE North Jersey Section Awards Reception

Birchwood Manor, 111 N Jefferson Rd, Whippany, New Jersey, United States, 07981

Dear Members of the IEEE North Jersey Section, The IEEE North Jersey Section is pleased to announce its annual "Awards Banquet Event" to be held on Sunday, May 4, 2025 at the Birchwood Manor, in Whippany, New Jersey, from 3 pm until 6 pm. The Section pays tributes to the new Fellows in our Section, as well as the recipients of major IEEE and other technical awards, IEEE Region 1 Awards, Section Awards and Society Awards. We look forward to seeing at this event to celebrate the award recipients Please use the vToos link to make reservation. Please register all attendees by completing the name, address, and e-mail entries on the form. Spouses and guests are welcome. (Please register each guest separately) For more information please contact: Ken Oexle, Awards Committee, Email: k.oexle@verizon.net Russell Pepe, Awards Committee, Email: russell.pepe@atm1.com Adriaan Wijngaarden, Awards Committee, Email: (mailto:adriaan.de_lind_van_wijngaarden@nokia-bell-labs.com) Ajay Poddar, Awards Committee, Email: akpoddar@ieee.org Emad Farag, IEEE North Jersey Section Chair, Email: enfarag@ieee.org Agenda: 2:30pm-3:00pm Photo Session for Award Recipients 3:00pm-4:20 Cocktail Hour, Welcome and Networking 4:30pm-5:00pm Award Ceremony 5:00pm-6:00pm Coffee/Desserts Tickets/Fees are applicable as follows: EXCOM members plus one guest attend free Award Recipients plus one guest attend for free Invited IEEE dignitaries plus one guest attend for free Advance registration is required for all attendees: $15 for IEEE student members (Discounted Rate) $35 for non-EXCOM members and additional guests $50 for non-IEEE members The capacity of the location is limited, so please make your reservations early. Birchwood Manor, 111 N Jefferson Rd, Whippany, New Jersey, United States, 07981

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