PFA is an initial disaster response intervention with the goal to promote safety, stabilize survivors of disasters and connect individuals to help and resources. PFA is delivered to affected individuals by mental health professionals and other first responders. The purpose of PFA is to assess the immediate concerns and needs of an individual in the aftermath of a disaster, and not to provide on-site therapy. Co-sponsored by: IEEE-USA MOVE Program Virtual: https://events.vtools.ieee.org/m/368634

Please join IEEE Dayton Signal Processing Society in welcoming 2023 IEEE Distinguished Industry Speaker Dr. Linda Moore! Radar offers some unique capabilities compared to other sensing phenomenologies. For example, radar can operate at long ranges, during the day and night, and in most weather conditions. Synthetic aperture radar (SAR) enables formation of 2D and 3D images of ground scenes for a wide array of military and commercial applications. In this talk, Dr. Linda Moore will discuss current challenges in SAR signal processing, including the challenge of applying machine/deep learning techniques to SAR automatic target recognition (ATR). Measured and synthetic SAR data has been made publicly available by the U.S. Air Force Research Laboratory and can assist in developing new techniques for today's SAR signal processing challenges. Available data sets will be associated with relevant technical challenges and examples of related IEEE published work will be highlighted. Speaker(s): Dr. Linda Moore Virtual: https://events.vtools.ieee.org/m/374409

Brenden Glover, a PhD student working with AFRL, will be presenting his work on locking of photoinc based oscillators. Virtual: https://events.vtools.ieee.org/m/385170

Brenden Glover, a PhD student working with AFRL, will be presenting his work on locking of photoinc based oscillators. Virtual: https://events.vtools.ieee.org/m/385170

The IEEE Vehicular Technology Society (VTS) Philadelphia Chapter is holding a technical meeting. The topic is DC Traction Power Systems - Advanced Design Concepts. Our speakers are Mark Curry and Tony Janin, Traction Power Systems Leads, Sécheron SA, North American Market This presentation discusses the different elements, applicable standards, and common industry trends used in dc and traction power applications. The objective of this presentation is to provide designers and specifiers with technical knowledge in DC applications used in traction applications and provide detailed insight into new product concepts used throughout the world. Attendees may apply for 2.0 PDH provided through the IEEE Certificates Program, accepted in all states. Send $5.00 (USD) payment to Brandon Swartley via Zelle at [email protected] and complete the online evaluation at https://r2.ieee.org/philadelphia-vts/forms/. Evaluation form must be completed and payment received within one week to receive PDH certificate. Speaker(s): Mark Curry, Tony Janin Agenda: Introduction Technical presentation - Multiple project profiles that embrace new DC technologies and design challenges - DC Switchgear - DC Traction Voltage Limiting Device - Stray Current Monitoring Systems - Traction Converter Units based on Diode, Thyristor, and IGBT Technology - Boost for Diode Rectifiers - Substation Automation System and Intelligent Operations and Maintenance Systems Questions Virtual: https://events.vtools.ieee.org/m/384130

This talk will introduce a general engineering audience to Directed Energy (DE) weapon technologies and their application in modern warfare. The Directed Energy (DE) community finds itself at a point of convergence between the state of the art of various forms of DE-weapon technology, and a growing number of emerging and asymmetric threats that those DE weapons can reasonably address in a more cost-effective manner than existing, and thus far conceived, conventional kinetic weapons. Guided rockets, artillery, mortars, and the proliferation of unmanned systems for both intelligence, surveillance, and reconnaissance (ISR) and strike, are a few of the many evolving threats that may be addressable by currently available DE capabilities, both high-energy lasers (HEL) and high-power microwave/radiofrequency (HPM/HPRF) systems. This immergence of addressable threats, the low cost per engagement, and a deep electrical magazine, allows for DE capabilities to reduce engagement costs and enhance force protection. We are now operating under a new paradigm for DE weapons, where the warfighters and acquisition community need answers on how, and not if or when, DE weapons are to be used. So, this now begs the questions of: How do we operationalize DE weapons? How might such weapons be used? and What are their implications for modern warfare? Co-sponsored by: IEEE Philadelphia Section, IEEE Northern Virginia/Washington/Baltimore Sections Speaker(s): Dr. David C. Stoudt, Agenda: Presentation: 7 pm (eastern time zone). The meeting link will be emailed to on-line attendees on November 28. Virtual: https://events.vtools.ieee.org/m/378124

An invited lecture by Prof. Husheng Li at Purdue University. Speaker(s): Prof. Husheng Li, Room: 260, Bldg: Dreese Lab, 2015 Neil Ave, Columbus, Ohio, United States, Virtual: https://events.vtools.ieee.org/m/380863

Foundation models such as GPT-4 have garnered significant interest from both academia and industry. An outstanding feature of such models is so-called emergent capabilities, including multi-step reasoning, instruction following, and model calibration, in a wide range of application domains. Such capabilities were previously only attainable with specially designed ML models, such as those using carefully constructed knowledge graphs, in specific domains. As the capabilities of foundation models have increased, so too have their sizes at a rate much faster than Moore's law. The training of foundation models requires massive computing power. For instance, training a BERT model on a single state-of-the-art GPU machine with multi-A100 chips can take several days, while training GPT-3 models on a large multi-instance GPU cluster can take several months to complete the estimated 3*10^23 flops. This talk provides an overview of the latest progress in supporting foundation model training and inference with new AI accelerators. It reviews progress on the modeling side, with an emphasis on the transformer architecture, and presents the system architecture supporting training and serving foundation models. Explore the frontier of AI with us as we delve into the power and potential of foundation models like GPT-4. Discover how emergent capabilities are pushing the boundaries of what's possible and the groundbreaking AI accelerators making it all happen. Join our talk to uncover the future of AI training and application! Speaker(s): Jun (Luke) Huan, Virtual: https://events.vtools.ieee.org/m/382797

Our society is having difficulties engineering heterogeneous systems of people and technology. For instance, our systems for dealing with pandemics, climate change, and financial stress have been less than completely successful, in significant part because of unanticipated human behaviors. This talk will cover new approaches to engineering ecosystems that better integrate human behavior and discuss how new technologies like Large Language Models (LLMs) can help.#A Speaker(s): Sandy Pentland Virtual: https://events.vtools.ieee.org/m/385300

Boston, Dallas, Foothills, Montreal, and Northern Virginia/Washington Chapters of IEEE Computer Society, Northern Virginia/Washington/Baltimore Chapter of IEEE Society on Social Implications of Technology, and GBC/ACM 7pm Thursday November 30 2023 MIT Room 32-G449 (Kiva) and online via Zoom Engineering Ecosystems with AI Sandy Pentland Please register in advance for this seminar even if you plan to attend in person at https://acm-org.zoom.us/webinar/register/5616991972922/WN_4z6KkwZbRxq_WpTR6RrEBA After registering, you will receive a confirmation email containing information about joining the webinar. Indicate on the registration form if you plan to attend in person. This will help us determine whether the room is close to reaching capacity. We may make some auxiliary material such as slides and access to the recording available after the seminar to people who have registered. Abstract: Our society is having difficulties engineering heterogeneous systems of people and technology. For instance, our systems for dealing with pandemics, climate change, and financial stress have been less than completely successful, in significant part because of unanticipated human behaviors. This talk will cover new approaches to engineering ecosystems that better integrate human behavior and discuss how new technologies like Large Language Models (LLMs) can help. Bio: Professor Alex 'Sandy' Pentland directs MIT Connection Science, an MIT-wide initiative, and previously helped create and direct the MIT Media Lab and the Media Lab Asia in India. He is one of the most-cited computational scientists in the world. Forbes declared him one of the "7 most powerful data scientists in the world" along with Google founders and the Chief Technical Officer of the United States. He is on the Board of the UN Foundations' Global Partnership for Sustainable Development Data, co-led the World Economic Forum discussion in Davos that led to the EU privacy regulation GDPR, and was one of the UN Secretary General's "Data Revolutionaries" helping to forge the transparency and accountability mechanisms in the UN's Sustainable Development Goals. He has received numerous awards and prizes such as the McKinsey Award from Harvard Business Review, the 40th Anniversary of the Internet from DARPA, and the Brandeis Award for work in privacy. Recent invited keynotes include annual meetings of OECD, G20, World Bank, and JP Morgan. He is a member of advisory boards for the UN Secretary General, the UN Foundation, Consumers Union, and OECD, and formerly the American Bar Association, Google, AT&T, and Nissan. He is a member of the U.S. National Academy of Engineering and council member within the World Economic Forum. Over the years Sandy has advised more than 80 PhD students. Together Sandy and his students have pioneered computational social science, organizational engineering, wearable computing (Google Glass), image understanding, and modern biometrics. His most recent books are Building the New Economy and Trusted Data, both published by MIT Press, Social Physics, published by Penguin Press, and Honest Signals, published by MIT Press. This meeting of the Boston (and other) Chapters of the IEEE Computer Society will be hybrid (in person and online), part of getting back to normal after the COVID-19 lockdown. Up-to-date information about this and other talks is available online at https://ewh.ieee.org/r1/boston/computer/. You can sign up to receive updated status information about this talk and informational emails about future talks at https://mailman.mit.edu/mailman/listinfo/ieee-cs, our self-administered mailing list. Boston, Massachusetts, United States, Virtual: https://events.vtools.ieee.org/m/387802

Commercial-grade silicon-based solar cells have an efficiency in the 20-30% range. The addition of a non-uniform magnetic field can increase the efficiency of a solar cell by manipulating the movement of the charge carriers within the silicon. This manipulation can increase the current produced by the solar cell which helps to increase the power and efficiency of the solar cell. This theory can be tested by measuring a solar cell’s output current and voltage both with and without the presence of a non-uniform magnetic field. A higher output power means the efficiency of the solar cell is increased. Co-sponsored by: Wright-Patt Multi-Intelligence Development Consortium (WPMDC), The DOD & DOE Communities Speaker(s): Jason Agenda: Commercial-grade silicon-based solar cells have an efficiency in the 20-30% range. The addition of a non-uniform magnetic field can increase the efficiency of a solar cell by manipulating the movement of the charge carriers within the silicon. This manipulation can increase the current produced by the solar cell which helps to increase the power and efficiency of the solar cell. This theory can be tested by measuring a solar cell’s output current and voltage both with and without the presence of a non-uniform magnetic field. A higher output power means the efficiency of the solar cell is increased. Virtual: https://events.vtools.ieee.org/m/387035

IEEE Erie Section is happy to announce a students' research competetion this Fall. Participants are welcome from Gannon University, Mercyhurst University, and Penn State Behrend University. Students from both undergraduate and graduate level may showcase their research or project works including but not limited to: 1. Senior design or capestone projects (undergraduate) 2. Graduate research/project 3. Graduate thesis 4. Any other research or implementation project where student is one of the authors. Interested students must submit a maximum of two page extended abstract to [email protected] by November 24, 2023. Papers must following the IEEE conference paper template. It's a two-column standard IEEE conference template. You may download the template from (https://www.overleaf.com/org/ieee) or (https://docs.google.com/document/d/15AQGTXUnyqp4EaDEuK8-kAIpqADfP3Om/edit?usp=share_link&ouid=115575769144516281626&rtpof=true&sd=true) or from IEEE (https://www.ieee.org/conferences/publishing/templates.html). Approved abstracts will be invited to present their works as posters. Poster instructions will be given later. Accepted papers (two-pages extended abstracts) will be published in IEEE and Gannon Student Chapters soon after the event. Top three student works will be awarded during the IEEE dinner event Dec 15, 2023. The program will begin at 4pm and end at 7pm. Pizza, and other refreshments will be served during the event. Agenda: Opening Poster presentation. Light refreshments will be served. Judges will be visiting and assessing the presentations. Room: 3rd Floor, Bldg: iHACK, 109 Univesity Square, Erie, Pennsylvania, United States, 16541