The Long Island RF/Microwave Symposium & Exhibits is the area's premier annual event that brings together the Microwave, Millimeter Wave & RF community. This event is free for attendees but you must register in advance. All Long Island Engineers, Managers, Students and Technical Professionals involved in these fields are invited. Registered attendees will receive admission to the exhibit floor, technical lectures, complimentary lunch, the networking event and complimentary dinner. The first 200 registered attendees will also receive a complimentary swag bag. Co-sponsored by: IEEE LI Bldg: Radisson Hotel, Radisson Hotel, 110 Vanderbilt Motor Pkwy, Hauppauge, New York, United States, 11788

The Long Island RF/Microwave Symposium & Exhibits is the area's premier annual event that brings together the Microwave, Millimeter Wave & RF community. This event is free for attendees but you must register in advance. All Long Island Engineers, Managers, Students and Technical Professionals involved in these fields are invited. Registered attendees will receive admission to the exhibit floor, technical lectures, complimentary lunch, the networking event and complimentary dinner. The first 200 registered attendees will also receive a complimentary swag bag. Co-sponsored by: IEEE LI Bldg: Radisson Hotel, Radisson Hotel, 110 Vanderbilt Motor Pkwy, Hauppauge, New York, United States, 11788

The Long Island RF/Microwave Symposium & Exhibits is the area's premier annual event that brings together the Microwave, Millimeter Wave & RF community. This event is free for attendees but you must register in advance. All Long Island Engineers, Managers, Students and Technical Professionals involved in these fields are invited. Registered attendees will receive admission to the exhibit floor, technical lectures, complimentary lunch, the networking event and complimentary dinner. The first 200 registered attendees will also receive a complimentary swag bag. Co-sponsored by: IEEE LI Bldg: Radisson Hotel, Radisson Hotel, 110 Vanderbilt Motor Pkwy, Hauppauge, New York, United States, 11788

Special Presentation by N. Kishor Narang (Narnix Technolabs, India) Hosted by the Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Date/Time: Thursday, May 16th, 2024 @ 12:00 UTC Topic: Is AI the New Plastic? Meta-Analysis of Sustainability as an Ethical imperative for Digital Technologies Abstract: This talk provides a meta-analysis of the environmental policy challenges presented by emerging technologies collectively referred to as machine learning (ML) and artificial intelligence (AI). The emergence of these technologies has already begun profoundly reshaping our lives, our interactions, and our lived environments. As adoption of these technologies becomes widespread, they are likely to play a substantial independent role in society’s energy consumption and environmental impact. In this talk, we argue that AI poses collective challenges like the widespread introduction of plastics half a century ago - providing cheap and seemingly efficient solutions to a wide range of contemporary problems while creating (and displacing) new aggregate costs that will impact all of society. This talk proposes that a holistic ethical and policy approach should be taken towards the design and deployment of AI technologies. It should embed an awareness of key ethical and policy goals throughout the ecosystem and value chain - from researchers to engineers to corporations to global policymakers - to better generate and distribute metrics that can inform policies oriented towards ethical and sustainable practices. If available, any slides/recordings will be at https://futurenetworks.ieee.org/roadmap/aiml-working-group Co-sponsored by: IEEE Future Networks Speaker(s): N. Kishor Narang Virtual: https://events.vtools.ieee.org/m/418570

Ethical & Social Issues of Artificial Intelligence FOCUS This lecture will cover the emerging threats and advances on technology ethics and will also refer to two IEEE initiatives in this context namely IEEE 7000 suite of standards and the Ethics Certification Programme for Autonomous and Intelligent Systems (ECPAIS). A number of IEEE standards and publications have been produced lately to promote awareness, recognition of the threats to values and rights and provide guidance to public and private sectors on factoring ethics in their technological solutions, products, services and systems. The main focus is on Autonomous Decision Making (ADM) and Algorithmic Learning Systems (ALS), the emerging regulatory landscape and approaches to the risk reduction in societal harms and ethical assurance of these technologies. Virtual: https://events.vtools.ieee.org/m/420910

In this talk, we will discuss technology and modern day application of security cameras in today’s Metro society. We will focus on examples of Hanwha’s eco system of products such as single and multi-sensor security cameras. We will also discuss edge based second generation Artificial Intelligence used to reduce false alarms, enhance detection while increasing real-time analytics. These types of analytics have the ability to utilize ones VMS more-so for EIM (Emergency Incident Management) vs forensic search (data presented after the event). We will also be discussing how Hanwha has closed the gap on our ecosystem by utilizing such cameras and analytics along with our VMS, audio speakers, monitors, servers and access control (hard partnership with Lenel/S2). Our discussion will also touch upon specialty cameras for continuous monitoring such as thermals, anti-ligature cameras and explosion proof cameras. Speaker(s): , Elliott Shem-Tov, John Sprague One Penn Plaza, 4th Floor, New York, New York, United States, 10119, Virtual: https://events.vtools.ieee.org/m/419377

Keynote Address at IEEE Long Island Microwave RF Wireless Symposium Co-sponsored by: 2024 Microwave RF Wireless Symposium Keynote Address: Ethical & Societal Implication of AI By Prof. A.G. Hessami Chair & Technical Editor, IEEE 7000 Standard Speaker(s): Prof. Hessami, Agenda: Summary: This talk will cover the latest advances on technology ethics and two IEEE initiatives namely IEEE 7000 suite of standards and the Ethics Certification Programme for Autonomous and Intelligent Systems (ECPAIS). These provide a basis for raising awareness and providing a systematic framework for the innovators, researchers and technologists as well as small and large, public and private enterprises involved in AI and technology innovation, development and deployment. The main focus is on Autonomous Decision Making and Algorithmic Learning Systems, the emerging regulatory landscape and two complementary approaches to the risk reduction in societal harms and ethical assurance of these technologies. Bldg: Radission Hotel, 110 Vanderbuilt Motor Parkway, Hauppauge, New York, United States, 11788, Virtual: https://events.vtools.ieee.org/m/420909

VENUE: Sofra Turkish & Mediterranean Cuisine 415 NJ-18 East Brunswick, NJ 08816 Phone: (https://www.google.com/search?gs_ssp=eJzj4tVP1zc0LCgvNy8rMzIyYLRSNaiwsEw2Tk5LNDczSTI2NDJKsjKoSDY2SDUyMzVITE40Sza0MPfiLc5PK0pUKCktys4szgAArFIUjg&q=sofra+turkish&oq=sofra%27s+&gs_lcrp=EgZjaHJvbWUqFQgCEC4YChivARjHARixAxiABBiOBTIGCAAQRRg5MgYIARBFGEAyFQgCEC4YChivARjHARixAxiABBiOBTIPCAMQABgKGIMBGLEDGIAEMg8IBBAuGAoYrwEYxwEYgAQyDwgFEC4YChivARjHARiABDIJCAYQABgKGIAEMg8IBxAuGAoYrwEYxwEYgATSAQg1MjI3ajBqN6gCALACAA&sourceid=chrome&ie=UTF-8) Agenda: 1. Vote / Accept Meeting Minutes (Tima) 2. Treasurer's Report (Mike) 3. Chair's Report(s) (Filomena) 4. Old Business (Each Chapter Chair) - Status of Each Chapter - Status of Committee's and Affinity Groups 5. New Business (Each Chapter Chair) - Each Chapters’ Upcoming Plans - Each Committee and Affinity Group Upcoming Plans - Any New Business not already covered 6. Move To Close Bldg: Sofra's Turkish & Mediterranean, 415 NJ-18, East Brunswick, New Jersey, United States, 07733

COURSE DESCRIPTION Course Kick-off / Orientation Thursday, April 18, 6:00PM – 6:30PM. Live Workshops: 6:00PM – 7:30PM, Thursdays, April 25, May 2, 9, 16, 23 Registration is open through the last live workshop date. Live workshops are recorded for later use. Attendees will have access to the recorded session and exercises for two months (until July 23, 2024) after the live session ends! Registration Fees: IEEE Member Fee (by April 11th): $190.00 IEEE Member Fee (after April 11th): $285.00 IEEE Non-Member Fee (by April 11th): $210.00 IEEE Non-Member Fee (after April 11th) $315.00 Decision to run/cancel course: Friday, April 12, 2024 COURSE DESCRIPTION New Format Combining Live Workshops with Pre-recorded Video This is a hands-on course providing pre-recorded lectures that students can watch on their own schedule and an unlimited number of times prior to live Q&A/Workshop sessions with the instructor. Ten 1.5 hour videos released 2 per week while the course is in session will be available for up to two months after the conclusion of the course. Course Summary This course is a fresh view of the fundamental and practical concepts of digital signal processing applicable to the design of mixed signal design with A/D conversion, digital filters, operations with the FFT, and multi-rate signal processing. This course will build an intuitive understanding of the underlying mathematics through the use of graphics, visual demonstrations, and applications in GPS and mixed signal (analog/digital) modern transceivers. This course is applicable to DSP algorithm development with a focus on meeting practical hardware development challenges in both the analog and digital domains, and not a tutorial on working with specific DSP processor hardware. Now with Jupyter Notebooks! Speaker(s): Dan Boschen, Agenda: Topics / Schedule: Pre-recorded lectures: (3 hours each) will be distributed Friday prior to each week’s workshop dates. Workshop/Q&A Sessions are 6 – 7:30PM on the dates listed below. Kick-off / Orientation: Thursday, April 18, 2024 Class 1: April 25, 2024: Correlation, Fourier Transform, Laplace Transform Class 2: May 2, 2024: Sampling and A/D Conversion, Z –transform, D/A Conversion Class 3: May 9, 2024: IIR and FIR Digital filters, Direct Fourier Transform Class 4: May 16, 2024: May Windowing, Digital Filter Design, Fixed Point vs Floating Point Class 5: May23, 2024: Fast Fourier Transform, Multi-rate Signal Processing, Multi-rate Filters Virtual: https://events.vtools.ieee.org/m/400076

Hello, Webex PCNJ invites you to join this WebEx meeting. IEEE PCJS DL “Continuum Robots” by Prof. Dr. Burgner-Kahrs Thursday, May 16, 2024 6:45 pm | Eastern Daylight Time (New York, GMT-04:00) | 2 hrs (https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m0d519da85d82588bc18a02a15bd83ba9) https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m0d519da85d82588bc18a02a15bd83ba9 Meeting number: 2533 281 0850 Meeting password: 3ZRmzc Join from a video conferencing system or application Dial [email protected] You can also dial 173.243.2.68 and enter your meeting number. To dial from an IEEE Video Conference System: *1 2533 281 0850 Join by phone +1-415-655-0002 United States Toll 1-855-282-6330 United States Toll Free Access code: 2533 281 0850 (https://ieeemeetings.webex.com/ieeemeetings/globalcallin.php?MTID=m85dfaca8f2a1a1993db67730eca01941) | (https://cisco.com/go/toll-free-dialing-restrictions) (https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m3646ee0fc7ae677d776ef3d26f19e894) to your calendar. (Cannot add from mobile devices.) Speaker(s): Prof. Dr. Burgner-Kahrs, Virtual: https://events.vtools.ieee.org/m/418861

Lifelong Learning (or Lifelong Machine Learning) is an advanced Machine Learning (ML) paradigm: an architecture for ML systems that learn continuously, accumulate knowledge learned in the past, and use that knowledge to help future learning and problem solving. This talk will explore three aspects of Lifelong Learning. First, traditional ML is generally an energy-hungry process: the process of building and training of the model requires huge computational resources. It might be expected that Lifelong Learning might be limited to cloud and off-line computing only. But this talk will explain some ways that Lifelong Learning avoids that constraint – by introducing a signal propagation approach that combines learning into the inference process, enabling the system to add classes to its knowledge model at the same time it is being used to solve problems. Second, most ML approaches are limited in their ability to utilize temporal patterns in its computation. But in Lifelong Learning, there are some new mechanisms that can make the AI temporally aware, mechanisms which can improve the system's ability to work effectively with limited data as well as a significant savings in size and power usage. Third, Lifelong Learning research continues to explore new models of computation – going beyond the traditional Turing computation model. Lifelong Learning researchers have been investigating “Super-Turing computation,” a model of computation that resembles biological learning. Speaker(s): Hava Siegelmann, Room: Room 105, Bldg: Computer Science Building, 35 Olden St., Princeton University, Princeton, New Jersey, United States, 08544, Virtual: https://events.vtools.ieee.org/m/375905