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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

An event to welcome the new ECE graduate students, know more about our chapters, encourage them to get involved and socialize over good food. Room: Lobby, Bldg: ITE, 371 Fairfield Way, Storrs, Connecticut, United States, 06269

As cyber threats become more advanced, traditional security models struggle to keep up with protecting modern networks. The Zero Trust framework, based on the idea of verifying and authorizing access at every step, regardless of user location or device, offers a solid solution. Adding Artificial Intelligence to this approach makes it even more effective by enabling smarter threat detection, continuous monitoring, and adaptive security measures. This talk looks at how AI improves zero-trust networks, focusing on AI algorithms like Long Short-Term Memory (LSTM) that can track network behavior over time to spot unusual activity and potential threats. AI also helps prioritize which threats need the most attention using risk scoring, making it easier to handle the most serious risks first. With AI-powered monitoring, even small security issues can be detected and addressed in real time, improving response times and overall protection. Combining AI with Zero Trust creates a more flexible and robust security system, ready to tackle the ever-changing challenges in cybersecurity. Speaker(s): Shajina Anand, Agenda: After the presentation the audience is invited to discuss with the speaker on the topic. Room: SC 109, Bldg: McNulty Hall, 400 South Orange Ave, South Orange, New Jersey, United States, 07079, Virtual: https://events.vtools.ieee.org/m/433970

Dear IEEE-CT Members, It is time to socialize with fellow engineers! Come mingle, exchange stories and make connections. Drinks/food is covered by IEEE-CT, just a minimal cost ($5) needed upon registration for members. Feel free to invite non-members (no need for them to sign up, just $15 cash at the door). Hope to see you there! Kind regards, Oscar Tonello IEEE R1/CT Membership Chair IEEE-CT Treasurer [email protected] 5 Church Brewery, 193 Arch St, New Britain, Connecticut, United States, 06051