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

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

Prof. Keeley Crockett (Manchester Metropolitan University and Chair of the IEEE Technical Committee SHIELD will present “Empowering AI with Human Insight: Navigating Challenges and Opportunities in Responsible, Trustworthy, and Participatory AI Development” at 6pm (UTC+1) / 1pm EDT on 12 June ‘25. Click (https://www.timeanddate.com/worldclock/fixedtime.html?msg=SSIT+Lecture%3A+Empowering+AI+with+Human+Insight%3A+Navigating+Challenges+and+Opportunities+in+Responsib&iso=20250612T18&p1=78&ah=1). IEEE UK and Ireland SSIT Chapter and SSIT IST-Africa SIGHT are cooperating with a number of IEEE OUs including North Jersey Section SSIT Chapter to organise this SSIT Lecture as a joint Webinar on 12 June. Registration IEEE and SSIT Members as well as non-IEEE Members are invited to (https://events.vtools.ieee.org/m/%20477559) and participate. IEEE Members should include their IEEE Membership Number when registering. Access to online Meeting Registered participants will be provided with the link prior to the event. Guest Lecture Focus Abstract: The operationalization of ethical principles, current and emerging legislation, and the understanding and mitigation of potential consequences to individuals and society are key challenges in responsible, trustworthy, and participatory AI development. Responsible innovation and ethical tech are essential to build public trust and meet legal obligations. Participatory AI is an approach to AI development that actively involves various stakeholders, including end-users, communities, and other relevant parties, in the design, development, and deployment processes of AI systems. This method emphasizes collaboration, transparency, and inclusivity to ensure that AI technologies are aligned with the values, needs, and expectations of the people who will be affected by them. Examples of research projects that bridge the gap between businesses, academia, and people will be presented, demonstrating how the use of ethical toolkits can help build public confidence to question the use of AI in their everyday lives, enhance academic research and provide meaningful public engagement to business. By fostering a collaborative approach, the speaker will illustrate how AI systems can be created to be not only innovative but also aligned with societal values and ethical standards. Speaker(s): Prof. Keeley Crockett, Agenda: 18:00 (UTC+1) / 13:00 (EDT) Welcome and Introduction to Guest Speaker 18:05 Lecture 18:45 Questions and Discussions Virtual: https://events.vtools.ieee.org/m/477559