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September 21 through November 2, 2024. Six Saturdays 1:30-4:30pm (9/21, 9/28, 10/5, 10/19, 10/26, 11/2). The IEEE North Jersey Section Communications Society Chapter is offering a course entitled "DEEP LEARNING WITH APPLICATIONS". Deep learning is a transformative field within artificial intelligence and machine learning that has revolutionized our ability to solve complex problems in various domains, including computer vision, natural language processing, and reinforcement learning. This hands-on course on deep learning is designed to provide students with an understanding how these amazing successes are made possible by drawing inspiration from the way that brains, both human and otherwise, operate. Students will gain a comprehensive foundation in the principles, techniques, and applications of deep neural networks. Learning how to solve real data-set based applications will teach students how to really apply deep learning with Python programming software. Participants will be asked to design and train deep neural networks to perform tasks such as image classification using commonly available data sets. However, participants are encouraged to apply the techniques from this course to other data sets according to their interests. Discuss with the instructor in order to propose your own project. More importantly, this will set the foundations for understanding and developing Generative AI applications. The IEEE North Jersey Section's Communications Society Chapter can arrange for providing IEEE CEUs - Continuing Education Units (for a $5 charge) upon completion of the course. Course prices: $75 for Undergrad/Grad/Life/ComSoc members, $100 for IEEE members, $150 for non-IEEE members Co-sponsored by: Education Committee Speaker(s): Thomas Long, Agenda: 1. Introduction to Neural Networks: Explore the fundamental concepts of artificial neural networks, backpropagation, activation functions, and gradient descent, laying the groundwork for deep learning understanding. 2. Introduction to PyTorch: Learn how to implement and train neural networks using PyTorch one of the most popular deep learning frameworks. Understand tensors. 3. Computer Vision Applications: Apply deep learning to computer vision problems, including image classification and object detection using Convolutional Neural Networks (CNNs) 4. Training and Optimizing Deep Neural Networks: Study techniques for training deep neural networks effectively, including optimization algorithms, weight initialization, regularization, and dropout. 5. Sequential Data Analysis: Explore how deep learning is used to analyze sequential data using Recurrent Neural Networks (RNNs). In particular, explore how neural networks are used in Natural Language Processing (NLP) tasks such as sentiment analysis and machine translation. 6. Generative AI: Overview of generative ai techniques that leverage the patterns present in a dataset to generate new content. Applications of generative ai include large language models such as ChatGPT and image generation models such as Midjourney and Stable Diffusion. This course assumes a basic understanding of machine learning concepts and programming skills in Python. Familiarity with linear algebra and calculus will be beneficial, but not mandatory. Statistical software (Python, Scikit-learn) and Deep Learning Frameworks (Pytorch, TensorFlow) will be used throughout the course for the exploration of different learning algorithms and for the creation of appropriate graphics for analysis. Learning objectives: Subjects covered include these and other deep learning related materials: artificial neural networks, training deep neural networks, RNN, CNN, image recognition, natural language processing, GANs, data processing techniques, and NN architectures. The course is intended to be subdivided into 3-hour sessions. Each lecture is further subdivided into lecture, guided and independent project based exercises to build experience with hands-on techniques. This course will be held at FDU - Teaneck, NJ campus. Checks should NOT be mailed to this address. Can bring checks in person or use online payments at registration. Email the organizer for any questions about course, registration, or other issues. Technical Requirements: Students will need access to the Python programming language. In addition to a standard Python installation, most programming exercises will use the package Scikit-learn. Basic programming skills and some familiarity with the Python language are assummed. Students are expected to be able to bring a laptop onto which most of these libraries can be pre-installed using python's pip install. Most of the coding in this course will use the Python programming language. Coding examples and labs will be distributed in the form of Juypter notebooks. In addition to standard Python, most programming exercises will use either the PyTorch or TensorFlow libraries. Books and other resources will be referenced. Room: Room 306, Bldg: Becton Building , FDU Metropolitan Campus, 960 River Road, Teaneck, New Jersey, United States, 07666

Join IEEE Rochester Section members for the 2024 Antique Wireless Association Conference, October 1-5, 2024, at the RIT Inn and Conference Center in Henrietta, NY, just South of Rochester and conveniently located near the NYS Thruway. A highlight of each year is the annual gathering in the Rochester, NY area for a multi-day event of fellowship, information exchange, flea marketing, and the sharing of communications history and technology. In addition to a series of presentations and the flea market each year, an AWA Museum open house provides all the information needed to explore changes to the collection displays over the past year. Buyers and sellers can attend the flea market for free starting Thursday and running through Friday (October 3 and 4). We invite you to register for the Conference and enjoy all it offers, but you don’t need to register to sell in the flea market. Registration for the Conference includes the free dessert social on Wednesday and a free dinner at the Friday evening banquet. On Wednesday evening, you will also enjoy free admission to the Antique Wireless Museum. Registration also includes entrance to all conference events, including the Saturday auction and book fair. As always, registration for your spouse or significant other conference is free. Co-sponsored by: Antique Wireless Association Agenda: TUESDAY, October 1, 2024 - 12:00 PM - 5:00 PM Registration Desk Opens - 6:30 PM Buffet Dinner Social Hour - Cash Bar - 7:00 PM Welcome Buffet Dinner WEDNESDAY, October 2, 2024 - 8:00 AM - 12:00 PM Registration Desk Opens - 9:00 AM Book Fair Opens - 9:15 AM - 10:30 AM Radio Frequency Alternators of the 1900’s - Sreeram “Ram” Dhurjaty, PhD - 10:45 AM - 12:00 PM Brian Harrison – "The National AGS Receiver” - 12:00 PM - 1:00 PM Lunch Break - 1:00 PM - 5:00 PM Registration Desk Open - 1:00 PM – 4:00 PM "The Audio Forum" - Audio Capacitors: Improvements Over Time- Bill Tomkiewicz - The Klipschorn- Dave Minchella - The Audio Forum: Open Discussion - 5:00 PM - 8:00 PM AWA Communication Technologies Museum is open - 7:30 PM Social Hour - Cash Bar - 8:00 PM Free Dessert Social THURSDAY, October 3, 2024 - 6:00 AM - Flea Market Opens. - 8:00 AM - 12:00 PM Registration Desk Opens - 9:00 AM - Book Fair Opens - 9:15 AM - 10:30 AM - Mike Molnar - “Invention of the AVC and AGC circuit and the Inventor Harold Wheeler” - 10:45 AM - 12:00 PM - Mike Murphy - The History of War Surplus Ham Radio Post-War - 12:00 PM - 1:00 PM Lunch Break - Fellowship Luncheon - Registration required. All welcome. - 1:00 PM - 5:00 PM Registration Desk Open - 1:00 PM - 2:15 PM - Bill Burns – "From Undersea Cables to Maxwell's Equations" - 2:30 PM - 5:15 PM - Panel Discussion: “Who Invented Radio? Who Are the Claimants? “ - Eric Wenaas PhD Moderator / Chair with Mike Molnar and Joe Knight - 5:30 PM - Buffet Dinner Social Hour - Cash Bar - 6:00 PM - Buffet Dinner - 8:00 PM - 11:00 PM Equipment Contest Check-in - 8:00 PM - 11:00 PM Moonlight Restoration - TBA FRIDAY, October 4, 2024 - 8:00 AM - Equipment Contest - last-minute check-in - 9:00 AM - 12:00 PM Registration Desk Open - 9:00 AM Equipment Contest Judging - 9:00 AM Book Fair Opens - 9:00 AM - 10:30 AM AWA Members’ Meeting - 10:45 AM - 12:00 PM Joe Fell - Amateur Radio Topics - Noon - Registration closes - 12:00 PM - 1:00 PM Lunch Break - 1:15 PM - 2:25 PM - “115 Years of the Radio Club Of America” – Felicia Kreuzer - 2:40 PM - 4:00 PM - Felicia Kreuzer - “Show And Tell” - Bring your artifacts ! - 4:00 PM - 5:30 PM Auction Items Check-in - 6:00 PM - Annual Banquet Social Hour - Cash Bar - 7:00 PM - Conference Banquet followed by contest viewing. - 9:00 PM – 11:00 PM Auction Preview - 11:00 PM - 12:00 AM Contest Pickup SATURDAY, October 5, 2024 - 7:00 AM - 8:00 AM Auction Preview - 8:00 AM - until finished Auction 5257 West Henrietta Rd., Henrietta, New York, United States, 14467

During this session, we will discuss the following: - The major difference between the 100% clean and renewable energy systems. - Solar performance in the East Coast. - The 2,000 MW energy storage goal by 2030 - The NJ commissioner energy master plan - The grid transformation/digitalization - Cybersecurity challenges - Electrification impact - Artificial Intelligence (AI): liability or asset Co-sponsored by: Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark , New Jersey, United States Speaker(s): Ahmed Mousa, Utility of the Future Manager, Room: 202, Bldg: ECEC Building, 141-159 Warren St, Newark, New Jersey, United States, 07102, Virtual: https://events.vtools.ieee.org/m/435750

Abstract: Our world is filled with pernicious problems. How, for example, did novice pilots learn to fly without taking to the air and risking their lives? How should cities process mountains of waste without polluting the environment? Challenges that tangle personal, public, and planetary aspects―often occurring in health care, infrastructure, business, and policy―are known as wicked problems, and they are not going away anytime soon. In linked chapters focusing on key facets of systems engineering―efficiency, vagueness, vulnerability, safety, maintenance, and resilience―engineer Guru Madhavan illuminates how wicked problems have emerged throughout history and how best to address them in the future. He examines best-known tragedies and lesser-known tales, from the efficient design of battleships to a volcano eruption that curtailed global commerce, and how maintenance of our sanitation systems constitutes tikkun olam, or repair of our world. Braided throughout is the uplifting tale of Edwin Link, an unsung hero who revolutionized aviation with his flight trainer. In Link’s story, Madhavan uncovers a model mindset to engage with wickedness. An homage to society’s innovators and maintainers, (https://www.amazon.com/Wicked-Problems-Engineer-Better-World/dp/0393651460/ref=sr_1_1)offers a refreshing vision for readers of all backgrounds to build a better future and demonstrates how engineering is a cultural choice―one that requires us to restlessly find ways to transform society, but perhaps more critically, to care for the creations that already exist. Bio: Guru Madhavan is the Norman R. Augustine Senior Scholar and senior director of programs at the National Academy of Engineering, and his books include Applied Minds: How Engineers Think and Wicked Problems: How to Engineer a Better World. Virtual: https://events.vtools.ieee.org/m/435518

The IEEE North Jersey Section's Executive Committee (EXCOM) monthly meeting will be held hybridly. The EXCOM meeting starts at 6:30 pm EST and typically ends at 8:30 pm. The meeting is meant to discuss and coordinate the activities of the Section and its Chapters and Groups, as well as new initiatives. Everyone is welcome to attend this meeting. Please register in advance for this meeting using vTools (Please make a note if you join the meeting remotely) You can change/cancel the registration if your plans change. For more information, please contact our IEEE North Jersey Section Chair Hong Zhao ([email protected]) , or Secretary, Adriaan van Wijngaarden, ([email protected]). To join remotely by the following Zoom link: https://fdu.zoom.us/j/96929941026 Meeting ID: 969 2994 1026 Note: If you are unable to join the meeting, please send your chapter activity report to the section chair at [email protected] Agenda: 06:30 pm - 06:45 pm Networking 06:45 pm - 08:30 pm IEEE North Jersey Section Executive Committee Meeting The meeting agenda typically includes news related to the IEEE and the IEEE North Jersey Section, Secretary and Treasurer reports, Chapter and Affinity Group reports, Committee reports, and reports by various Chairs and Representatives, Committee Chairs, and planning, and new initiatives. Bldg: Center for Environmental and Life Sciences, Room 120, Red Hawk Deck, 1 Normal Ave, Montclair, New Jersey, United States, 07043, Virtual: https://events.vtools.ieee.org/m/434118