[] Exceptional point (EP) electronics is a new and exciting field of circuit design. This talk aims to demystify the concept of exceptional points and their practical applications in electronic systems, making it accessible to working engineers without delving deeply into complex mathematics. EP electronics have two or more coupled resonant tank circuits in which gains and losses balance automatically. The advantages of EP electronics are robust wireless power transfer and enhanced sensitivity to small signal inputs. This presentation will describe the history of these devices from their inception in the 1990's and then go through some basic circuit topologies and demonstrations of their capabilities. Attendees will gain insights into: - The basic principles of exceptional points and their significance in electronics. - Practical applications of EPs in improving device performance. - Case studies showcasing successful implementations of EP-based designs. This session is designed to provide engineers with a clear and practical understanding of exceptional points without the need for extensive mathematical background. Speaker(s): Arnold Stillman Agenda: 7:00 PM Networking and Announcements 7:15 PM Presentation Virtual: https://events.vtools.ieee.org/m/452630

BitCoin was proposed in 2008 and (based on a white paper), launched in 2009. It was worthless initially, but is now priced at $100,000 per coin. It can be incremented into 1/100,000,000 parts, each called a “Satoshi”. The white paper proposes that security is ultimately achieved by the hosting agency having a more powerful and faster computer than anyone else. However, other security measures are a cryptographic system that would be difficult to overcome, and personnel who check each transaction for legitimacy. In spite of the seemingly impossible task of “hacking” the system, accounts have been stolen or lost several times. The purpose of this talk is not to advocate use of this system of commerce, but to recognize that at some point the US Government will be involved. This should eventually lead to a secure system for commerce. Some interesting features of the technology include the analogy of mining for gold, and the increasing difficulty of “finding” coins. Similar "coins" will also be discussed. Speaker(s): Doug Virtual: https://events.vtools.ieee.org/m/454896

The monthly Rochester IEEE Executive Committee meeting brings together all of the leaders of the Section, Chapters, and Groups. ExCom members: Please send your updates on past and upcoming events to the (mailto:[email protected]) to be included on the agenda prior to the meeting. We review plans for upcoming Rochester meetings within our Section, Chapters, and groups at this meeting. If you are looking to become more engaged in IEEE in the Rochester Section, please plan on attending an Excom meeting! Agenda: - Section Officer Reports - Section Chair Report: (mailto:[email protected]) - Section Vice-Chair Report: (mailto:[email protected]) - Section Treasurer Report: (mailto:[email protected]) - Section Secretary Report: (mailto:[email protected]) - Old Business - New Business - Chapter Society and Group Reports - Aerospace and Electronic Systems Society and Communications Society (AES10/COMM19); (mailto:[email protected]) - Computer Society and Computational Intelligence Society (C16/CIS11); (mailto:[email protected]) - Electron Devices and Circuits and Systems: (mailto:[email protected]) - Engineering in Medicine and Biology Society (EMB18): (mailto:[email protected]) - Rochester/Binghamton/Buffalo/Ithaca/Syracuse Geoscience and Remote Sensing Society (GRS29): (mailto:[email protected]) - Life Members Group: (mailto:[email protected]); (mailto:[email protected]) - Microwave Theory and Techniques Society / Antennas and Propagation Society (MTT17/AP03): (mailto:[email protected]), (mailto:[email protected]) - Photonics Society (PHO36): (mailto:[email protected]) - Power and Energy Society / Industry Applications Society (PE31/IA34): (mailto:[email protected]); (mailto:[email protected]) - Signal Processing Society (SP01): (mailto:[email protected]) - Technology Management Council (TM14): (mailto:[email protected]) - Women In Engineering (WIE): (mailto:[email protected]) - Young Professionals: (mailto:[email protected]) - Student Chapter Reports: (mailto:[email protected]) - Rochester Institute of Technology: (mailto:[email protected]) - University of Rochester: (mailto:[email protected]) - Committee Reports - Membership Report: (mailto:[email protected]%20) - Awards Report: (mailto:[email protected]) - Electronic Communications Coordinator: (mailto:[email protected]) - Newsletter Report: (mailto:[email protected]) - E. Liaison Reports - R1 Western Area Chair: (mailto:[email protected]) - Rochester Engineering Society (RES) Report: (mailto:[email protected]) - Open Discussion - Adjournment Bldg: Tandoor of India, Rochester, New York, United States, 14623, Virtual: https://events.vtools.ieee.org/m/445275

IEEE Reliability Society- Joint Boston/New Hampshire/Providence Chapter Adcom meeting. Speaker(s): , , , Agenda: Ahead of this meeting, please review Don's minutes and Justin's proposal & draft brochure. All are found in the "Media" section in the VTools event for last Adcom at https://events.vtools.ieee.org/m/434343 Agenda - Call to Order - Opening Remarks - Chapter Collabratec site: Boston/Providence/New Hampshire Jt Sections, RL07 - Officer Reports - Secretary - AdCom Meeting Minutes - Treasurer - Awards - Financials - Vice Chair - Technical Meeting Schedule - Potential Technical Meeting Presentations - Newsletter - Webmaster & Social Media - Website Status - Further discussion of Justin's proposal <https://events.vtools.ieee.org/m/434343> - Chair Report - Recent Technical Meeting Attendance - - - - - 11-DEC-2024 Radiation Effects in Electronics: Brief Overview and History by Ethan Cascio - - - Upcoming Technical Meeting Registrations - - Old Business - MIT Lincoln Laboratory Appreciation / Thank You Plaque andPresentation - Proposed creation of IEEE Boston Reliability Chapter brochureTargeting the Younger Demographic - Facebook, Instagram, Twitter - Chapter banner - New Business - Officer Election – Open October 30 / Close December 4 - Communication from Mehdi Si Moussa ([email protected]), vice chair of the Worcester County section and Chair of the Microwave Chapter regarding hosting meetings. - - Policy Proposal Discussion - Should we create a chapter policy document, for example to contain the meeting voluntary illness self-reporting notification? - Proposed new policy: "We agree that as Officers and volunteers of the Joint IEEE Reliability Chapter of Boston, New Hampshire, & Providence, we will avoid any real or perceived impression that we have a political affiliation. Officers and other volunteers may take part in partisan political activities freely on their own personal time, but they must not do so in the course of their role and responsibilities for the Chapter, nor should they represent that they are acting for or on behalf of this Chapter, or give the appearance that they are representing the IEEE." - Schedule Next AdCom Meeting - TBD. - Closing Remarks - Adjournment Virtual: https://events.vtools.ieee.org/m/450430

https://docs.google.com/forms/d/e/1FAIpQLSeh6TUj0NtdJx-bgHKV2yLsZUdudiXeOoL9pzTdrXg1xES3IA/viewform?usp=sf_link Greetings, IEEE Ithaca section, We're hosting a holiday party on January 11, 2025 from 2-5pm at Hopshire Farm & Brewery in Freeville, NY. We invite you, your family, and loved ones to join us for a festive celebration. (https://docs.google.com/forms/d/e/1FAIpQLSeh6TUj0NtdJx-bgHKV2yLsZUdudiXeOoL9pzTdrXg1xES3IA/viewform?usp=sf_link) to this event as it will be catered. Hope to see you there! Happy holidays, IEEE Ithaca Executive Committee 1771 Dryden Rd, Freeville, New York, United States, 13068

Special Presentation by Dr. Mérouane Debbah (Khalifa U., UAE) Hosted by the Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Date/Time: Thursday, January 16th, 2025 @ 12:00 UTC Topic: Generative Diffusion Models for Network Optimization Abstract: Network optimization is a fundamental challenge in Internet-of-Things (IoT) networks, often characterized by complex features that make it difficult to solve these problems. Recently, generative diffusion models (GDMs) have emerged as a promising new approach to network optimization, with the potential to directly address these optimization problems. However, the application of GDMs in this field is still in its early stages, and there is a noticeable lack of theoretical research and empirical findings. In this study, we first explore the intrinsic characteristics of generative models. Next, we provide a concise theoretical proof and intuitive demonstration of the advantages of generative models over discriminative models in network optimization. Based on this exploration, we implement GDMs as optimizers aimed at learning high-quality solution distributions for given inputs, sampling from these distributions during inference to approximate or achieve optimal solutions. Specifically, we utilize denoising diffusion probabilistic models (DDPMs) and employ a classifier-free guidance mechanism to manage conditional guidance based on input parameters. We conduct extensive experiments across three challenging network optimization problems. By investigating various model configurations and the principles of GDMs as optimizers, we demonstrate the ability to overcome prediction errors and validate the convergence of generated solutions to optimal solutions. Speaker: Dr. Mérouane Debbah is a Professor at the Khalifa University of Science and Technology in Abu Dhabi and founding Director of the KU 6G Research Center. He is a frequent keynote speaker at international events in the field of telecommunication and AI. His research has been lying at the interface of fundamental mathematics, algorithms, statistics, information and communication sciences with a special focus on random matrix theory and learning algorithms. In the Communication field, he has been at the heart of the development of small cells (4G), Massive MIMO (5G) and Large Intelligent Surfaces (6G) technologies. In the AI field, he is known for his work on Large Language Models, distributed AI systems for networks and semantic communications. He received multiple prestigious distinctions, prizes and best paper awards (more than 40 IEEE best paper awards) for his contributions to both fields and according to research.com he is ranked as the best scientist in France in the field of Electronics and Electrical Engineering. He is an IEEE Fellow, a WWRF Fellow, a Eurasip Fellow, an AAIA Fellow, an Institut Louis Bachelier Fellow, an AIIA Fellow, and a Membre émérite SEE. He is chair of the IEEE Large Generative AI Models in Telecom (GenAINet) Emerging Technology Initiative and a member of the Marconi Prize Selection Advisory Committee. Co-sponsored by: Artificial Intelligence & Machine Learning (AIML) Working Group Virtual: https://events.vtools.ieee.org/m/453702

A Special Event by Computer Society "Careers in Technology" 20 January 2025 8pm Eastern Time Dr Martin Luther King Jr Day of Volunteering IEEE MOVE featuring Theresa Brunasso With Computer Society, AP-S, Standards, SIGHT, WIE, COPE, Communications Society, Future Networks Learn about MOVE Volunteers and opportunities in the organization founded by IEEE President Elect: Mary Ellen Randall. [] The program is committed to assisting victims of and responders to natural disasters with short-term communications, technology, and power solutions. These temporary emergency relief provisions help people stay connected and ensure access to the help they need. Services include internet, charging stations, and lighting resources. Grayson Randall will serve as the 2025 Chair of the IEEE Humanitarian Technologies Board. [] When not deployed for disaster relief efforts, vehicles visit schools, fairs, and other venues to educate the public, for STEM, for community engagement, to showcase leading technologies, and raise awareness about the positive impact these technologies have on society -- Advancing Technology for Humanity. [] Virtual: https://events.vtools.ieee.org/m/455265

The BAE Systems, SNHU Career Center, IEEE WIE/YP and SNHU IEEE Student Branch are teaming up to organize career event title “How to get and Internship”. BAE systems will guide students on how to apply for internships and jobs with BAE specific advice and some general advice. Students will become familiar with the system. Many students are unaware how early one needs to apply for jobs and internship at the big companies. SNHU Career center will follow up with explanations and demonstrations on how they can facilitate internship application process and how they can prepare students for interviews. Representatives from IEEE Young Professional and Women in Engineering will illustrate how IEEE can be part of the process and how they can support students transitioning to their professional life. Agenda: 1 – Arrival, food, networking 5pm 2 – Presentation by BAE systems 5:15 3 – Presentation by the SNHU Career Center 5:45 4 – Presentation by IEEE YP 6 5 – Questions and Answers session and networking Room: 128, Bldg: School of Engineering, Technology and Aeronautics, Southern New Hampshire University, 2500 North River Road, Manchester, New Hampshire, United States, 03106

R2 Region Director - New RD, New Vision IEEE History Center Presentation Introduction to 2025 Region 2 RVC Vitality Stats & Update (Brief) Agenda: R2 Region Director - New RD, New Vision IEEE History Center Presentation Vitality Stats & Update (Brief) Virtual: https://events.vtools.ieee.org/m/446652

Abstract: As artificial intelligence increasingly influences software development practices, this talk examines the balance between technological advancement and sustainable technical expertise. Drawing from real-world experience in enterprise software development, I will explore the societal implications of AI tool adoption in programming, focusing on educational equity, knowledge sustainability, and ethical considerations for the future of software engineering. Anujkumarsinh Donvir is a Data Visualization Application Development Expert specializing in JavaScript technologies, including NodeJS, React, and Angular. He holds a Master's in Computer Science from Fairleigh Dickinson University, New Jersey, USA and Bachelor’s degree in Electronics and Communications Engineering from Saurashtra University, Gujarat, India. With over 15 years of experience in the tech industry, Donvir has contributed to transformative enterprise software projects, pioneering applications that transform complex datasets into actionable insights and drive data-informed decision-making across industries. He holds a key role of Lead Application Developer at ADP, where he is bringing power of data to HR managers and Executives to help them make informed decisions for their workforce. He has held engineer and senior engineer positions at companies like Nokia and Tata in the past. As an active member of IEEE and academia, Donvir is a IEEE Sr Member and has published 5 research papers and holds a patent to his name. He is passionate about serving the technology community and young engineers which is highlighted through his involvement as coach and teacher at platforms such as Code the Dream where he teaches a class of React Programming. He is an advocate for human-centered AI strategies, ensuring the empowerment of diverse communities while safeguarding core engineering competencies for future generations. Speaker(s): , Anuj Virtual: https://events.vtools.ieee.org/m/452444

Dr Paula Muller Entrepreneur Biomedical Engineer Special Event Careers in Technology 29 January 2025 8pm - 9pm Eastern Time Together with Computer Society, ComSoc, SIGHT, WIE, COPE, FutureNetworks, Standards, DIITA Dr Paula Muller, Biomedical Engineer, will describe her professional journey and take a deep dive into the high-tech world of an entrepreneur bridging the generations. Dr Muller is an entrepreneur at the forefront of technology with innovative inter-generational communication platforms, with extensive experience in scientific research and product development, in the areas of signal processing for medical applications and for audio coding, as well as with data security, web applications and telehealth products and services. CareLink360 Helping Aging Adults Connect and Engage with their Loved Ones Far, Near, Simply, and Globally, while providing peace of mind to those who care for them. Virtual: https://events.vtools.ieee.org/m/455296

The monthly Rochester IEEE Executive Committee meeting brings together all of the leaders of the Section, Chapters, and Groups. ExCom members: Please send your updates on past and upcoming events to the (mailto:[email protected]) to be included on the agenda prior to the meeting. We review plans for upcoming Rochester meetings within our Section, Chapters, and groups at this meeting. If you are looking to become more engaged in IEEE in the Rochester Section, please plan on attending an Excom meeting! Agenda: - Section Officer Reports - Section Chair Report: (mailto:[email protected]) - Section Vice-Chair Report: (mailto:[email protected]) - Section Treasurer Report: (mailto:[email protected]) - Section Secretary Report: (mailto:[email protected]) - Old Business - New Business - Chapter Society and Group Reports - Aerospace and Electronic Systems Society and Communications Society (AES10/COMM19); (mailto:[email protected]) - Computer Society and Computational Intelligence Society (C16/CIS11); (mailto:[email protected]) - Electron Devices and Circuits and Systems: (mailto:[email protected]) - Engineering in Medicine and Biology Society (EMB18): (mailto:[email protected]) - Rochester/Binghamton/Buffalo/Ithaca/Syracuse Geoscience and Remote Sensing Society (GRS29): (mailto:[email protected]) - Life Members Group: (mailto:[email protected]); (mailto:[email protected]) - Microwave Theory and Techniques Society / Antennas and Propagation Society (MTT17/AP03): (mailto:[email protected]), (mailto:[email protected]) - Photonics Society (PHO36): (mailto:[email protected]) - Power and Energy Society / Industry Applications Society (PE31/IA34): (mailto:[email protected]); (mailto:[email protected]) - Signal Processing Society (SP01): (mailto:[email protected]) - Technology Management Council (TM14): (mailto:[email protected]) - Women In Engineering (WIE): (mailto:[email protected]) - Young Professionals: (mailto:[email protected]) - Student Chapter Reports: (mailto:[email protected]) - Rochester Institute of Technology: (mailto:[email protected]) - University of Rochester: (mailto:[email protected]) - Committee Reports - Membership Report: (mailto:[email protected]%20) - Awards Report: (mailto:[email protected]) - Electronic Communications Coordinator: (mailto:[email protected]) - Newsletter Report: (mailto:[email protected]) - E. Liaison Reports - R1 Western Area Chair: (mailto:[email protected]) - Rochester Engineering Society (RES) Report: (mailto:[email protected]) - Open Discussion - Adjournment Bldg: Tandoor of India, Rochester, New York, United States, 14623, Virtual: https://events.vtools.ieee.org/m/452252

Please join us for an insightful talk by Dr.Graham Dudgeon, Consultant Product Manager for Electrical Technology at MathWorks, on modeling and simulation of microgrids. In this talk, Graham will discuss how modeling and simulation can support the development of microgrid systems from early-stage feasibility through to in-service operation. Through a worked example of a representative microgrid, Graham will cover the following areas, - Techno-economic analysis and optimization. - Aligning model fidelity with a given engineering task. - Incremental creation, test and integration of components into a larger system. - Real-time testing. - Deploying algorithms and simulation models into edge devices and cloud platforms. Looking forward to seeing you all for the session! Speaker(s): Dr.Graham, Virtual: https://events.vtools.ieee.org/m/451759

Course Kick-off / Orientation 6:00PM – 6:30PM EDT; Thursday, February 20, 2025 First Video Release, Thursday, February 20, 2025. Additional videos released weekly in advance of that week’s live session! Live Workshops: 6:00PM – 7:30PM EDT; Thursdays, February 27, March 6, 13, 20, 27 Registration Fees: IEEE Member Early Rate (by February 6): $190.00 IEEE Member Rate (after February 6): $285.00 IEEE Non-Member Early Rate (by February 6): $210.00 IEEE Non-Member Rate (after February 6): $315.00 Decision to run/cancel course: February 13, 2025 Registration is open through the last live workshop date. Live workshops are recorded for later use. Course Information will be distributed on Thursday, February 20 in advance of and in preparation for the first live workshop session. A live orientation session will be held on Thursday, February 20. Attendees will have access to the recorded session and exercises for two months (until May 27, 2025) after the last live session ends! This is a hands-on course combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language. Pre-Recorded Videos: The course format includes pre-recorded video lectures that students can watch on their own schedule, and an unlimited number of times, prior to live Q&A workshop sessions on Zoom with the instructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the course. Course Summary This course builds on the IEEE course “DSP for Wireless Communications” also taught by Dan Boschen, further detailing digital signal processing most applicable to practical real-world problems and applications in radio communication systems. Students need not have taken the prior course if they are familiar with fundamental DSP concepts such as the Laplace and Z transform and basic digital filter design principles. This course brings together core DSP concepts to address signal processing challenges encountered in radios and modems for modern wireless communications. Specific areas covered include carrier and timing recovery, equalization, automatic gain control, and considerations to mitigate the effects of RF and channel distortions such as multipath, phase noise and amplitude/phase offsets. Dan builds an intuitive understanding of the underlying mathematics through the use of graphics, visual demonstrations, and real-world applications for mixed signal (analog/digital) modern transceivers. This course is applicable to DSP algorithm development with a focus on meeting practical hardware development challenges, rather than a tutorial on implementations with DSP processors. Now with Jupyter Notebooks! Speaker(s): Dan Boschen , Agenda: Kick-off / Orientation: Thursday, February 20, 2025 Topics / Schedule: Class 1: Thursday, February 27, 2025 - DSP Review, Radio Architectures, Digital Mapping, Pulse Shaping, Eye Diagrams Class 2: Thursday, March 6, 2025 - ADC Receiver, CORDIC Rotator, Digital Down Converters, Numerically Controlled Oscillators Class 3: Thursday, March 13, 2025 - Digital Control Loops; Output Power Control, Automatic Gain Control Class 4: Thursday, March 20, 2025 - Digital Control Loops; Carrier and Timing Recovery, Sigma Delta Converters Class 5: Thursday, March 27, 2025 - RF Signal Impairments, Equalization and Compensation, Linear Feedback Shift Registers Virtual: https://events.vtools.ieee.org/m/450597

Musical conducting is a unique blend of musical performance and communication. Conductors are the only musicians who can freely move their hands to create sound, without having their gestures constrained by a rigid instrument, as their instrument is the entire orchestra. The act of conducting can also be seen as communication, as the conductor is using gestures to convey information to the other musicians. While gesture recognition is a widely researched topic in human-computer interaction, conducting hasn’t been studied too extensively. In this talk I will present some of my work on analyzing, generating, and recognizing conducting gestures, highlighting both methods and applications. Speaker(s): Andrea Salgian, Room: STEM 102, Bldg: STEM Building, The College of New Jersey, 2000 Pennington Rd., Ewing, New Jersey, United States, 08618, Virtual: https://events.vtools.ieee.org/m/452460

Since its first documented appearance about four millennia ago, the number π (pi) has become not just an oft-encountered constant in mathematics and physics but a cultural phenomenon, with numerous appearances in books, artworks, TV shows, and films. This talk will discuss a handful of these somewhat recreational aspects of pi, each of which turns out to have non-trivial connections to serious mathematics and/or computer algorithms. Among our topics will be curious features of pi's digits, memorizing the digits using a human-based algorithm, pi in graphic design, the most beautiful digit-computing algorithm, and the wonders of Pilish: a constrained dialect of English in which the number of letters in successive words matches the digits of pi. Speaker(s): Michael Keith Room: 105, Bldg: Computer Science Building, 35 Olden St, Princeton, New Jersey, United States, 08544, Virtual: https://events.vtools.ieee.org/m/439050

Course Format: Live Webinar, 4.0 hours of instruction! Series Overview: From the book introduction: “Neural networks and deep learning currently provides the best solutions to many problems in image recognition, speech recognition, and natural language processing.” This Part 1 and the planned Part 2 (to be confirmed) series of courses will teach many of the core concepts behind neural networks and deep learning. This is a live instructor-led introductory course on Neural Networks and Deep Learning. It is planned to be a two-part series of courses. The first course is complete by itself and covers a feedforward neural network (but not convolutional neural network in Part 1). It will be a pre-requisite for the planned Part 2 second course. The class material is mostly from the highly-regarded and free online book “Neural Networks and Deep Learning” by Michael Nielsen, plus additional material such as some proofs of fundamental equations not provided in the book. More from the book introduction: Reference book: “Neural Networks and Deep Learning” by Michael Nielsen, http://neuralnetworksanddeeplearning.com/ “We’ll learn the core principles behind neural networks and deep learning by attacking a concrete problem: the problem of teaching a computer to recognize handwritten digits. …it can be solved pretty well using a simple neural network, with just a few tens of lines of code, and no special libraries.” “But you don’t need to be a professional programmer.” The code provided is in Python, which even if you don’t program in Python, should be easy to understand with just a little effort. Benefits of attending the series: * Learn the core principles behind neural networks and deep learning. * See a simple Python program that solves a concrete problem: teaching a computer to recognize a handwritten digit. * Improve the result through incorporating more and more core ideas about neural networks and deep learning. * Understand the theory, with worked-out proofs of fundamental The demo Python program (updated from version provided in the book) can be downloaded from the speaker’s GitHub account. The demo program is run in a Docker container that runs on your Mac, Windows, or Linux personal computer; we plan to provide instructions on doing that in advance of the class. (That would be one good reason to register early if you plan to attend, in order that you can receive the straightforward instructions and leave yourself with plenty of time to prepare the Git and Docker software that are widely used among software professionals.) Course Background and Content: This is a live instructor-led introductory course on Neural Networks and Deep Learning. It is planned to be a two-part series of courses. The first course is complete by itself and covers a feedforward neural network (but not convolutional neural network in Part 1). It will be a pre-requisite for the planned Part 2 second course. The class material is mostly from the highly-regarded and free online book “Neural Networks and Deep Learning” by Michael Nielsen, plus additional material such as some proofs of fundamental equations not provided in the book. Outline: - Feedforward Neural Networks - Simple (Python) Network to classify a handwritten digit - Learning with Stochastic Gradient Descent - How the backpropagation algorithm work - Improving the way neural networks learn: - - Cross-entropy cost function - SoftMax activation function and log-likelihood cost function - Rectified Linear Unit - Overfitting and Regularization: - - L2 regularization - Dropout - Artificially expanding data set Pre-requisites: There is some heavier mathematics in learning the four fundamental equations behind backpropagation, so a basic familiarity with multivariable calculus and matrix algebra is expected, but nothing advanced is required. (The backpropagation equations can be also just accepted without bothering with the proofs since the provided Python code for the simple network just make use of the equations.) Basic familiarity with Python or similar computer language. Speaker(s): CL Kim, Boston, Massachusetts, United States, Virtual: https://events.vtools.ieee.org/m/450631