IEEE Grace Hopper A-O Milestone Celebration Join us as we honor Grace Hopper with the unveiling of the IEEE Milestone Plaque recognizing the invention of the A-O Compiler. The Compiler is one of the fundamental technologies in the history of computing. The invention of the compiler made it possible to write high-level computer programs, which in turn led to increased programmer productivity and reduced rates of error. Program 10:00-11:00 a.m, Greenberg Lounge, Skirkanich Hall. University of Pennsylvania, 210 South 33rd Street, Philadelphia, PA 19104 Plaque Unveiling 11:00-11:15 a.m., Suite 100, Moore Building, University of Pennsylvania, 200 South 33rd Street, Philadelphia, PA 19104 A reception will follow. In-Person Attendance Seating is limited for in-person attendance, so we ask that you please (https://forms.gle/eJhbYv4paFQGNNkm6). Remote Attendance We welcome all to join us remotely using this (https://upenn.zoom.us/j/98799447091?pwd=UE9lZkJtbjBCck5zL0VRVU44aWFtQT09) Meeting ID: 987 9944 7091 Passcode: 871077 A recording of the program will be posted here following the event. Philadelphia, Pennsylvania, United States, Virtual: https://events.vtools.ieee.org/m/413472

IEEE R2 Mini-Sync Region 2 RD/RD-E Passdown IEEE-USA Post CVD Discussions and Tech Hubs Agenda: IEEE Educational Activities / IEEE-USA Post CVD Discussions and Tech Hubs Virtual: https://events.vtools.ieee.org/m/389635

Discover How Chat GPT Can Transform Your Job Search! Did you know that only 24% of Americans harness the power of Chat GPT? Surprisingly, this tool is most popular among the 18-24 age group. However, many users disengage within just 7 minutes of interaction. In 2024, leveraging Chat GPT for your job search holds incredible potential. Elizabeth's presentation offers innovative strategies to maximize this tool's effectiveness in your quest for employment. Join us to explore expert tips, unconventional methods, and tailored prompts that will revolutionize your approach to job hunting. Speaker(s): Elizabeth Lions Agenda: IEEE-USA's free webinars/events are designed to help you find your next job, maintain your career, negotiate an appropriate salary, understand ethical considerations in the workplace and learn about other career-building strategies and public policy developments that affect your profession. For information regarding upcoming webinars or to visit our vast webinar archive, please visit: (https://ieeeusa.org/careers/webinars/) (https://newsletter.smartbrief.com/rest/sign-up/2479DAB0-4089-43E7-925D-86AE0C1E6244?campaign=e0d52cef) Virtual: https://events.vtools.ieee.org/m/409074

Dears, Maker Engineering design showcase will be Thursday, May 9, from 11:00 am to 1:30 pm. On the scheduled day, there will be a lunch for ECCS faculty, clients, and Maker Engineering students from 11:00 am to 12:00 pm, followed by the judging of teams' designs from 12:00 pm to 1:30 pm. You're invited to join us for lunch! Additionally, please let us know if you're available to serve as a judge. Sincerely, 525 S Main St Unit 1, ADA, Ohio, United States, 45810

AI-Assisted Tutoring represents a transformative approach to education in Science, Technology, Engineering, and Mathematics (STEM) fields. This innovative educational model integrates artificial intelligence (AI) technologies to create personalized learning experiences, addressing the unique needs and learning styles of each student. The core of AI-assisted tutoring lies in its ability to analyze vast amounts of data, including student performance metrics, learning preferences, and engagement levels, to tailor educational content and methodologies. The system employs algorithms and machine learning techniques to identify knowledge gaps, predict learning outcomes, and adapt instructional strategies in real-time. This dynamic approach ensures that students receive targeted support in areas where they need it most, promoting deeper understanding and retention of complex STEM concepts. Moreover, AI-assisted tutoring can simulate one-on-one interaction, providing immediate feedback and guidance, thereby fostering a supportive and responsive learning environment. The integration of AI in STEM education has the potential to revolutionize traditional teaching paradigms by making learning more accessible, efficient, and effective. It can bridge educational gaps, enhance student performance, and inspire a generation of learners to excel in STEM disciplines. This abstract explores the potential of AI-assisted tutoring to transform STEM education, highlighting its benefits, challenges, and future prospects in nurturing the next wave of innovators and problem-solvers. [] Speaker(s): Gilbert M Orcilla, Agenda: 5:30 pm - 5:35 pm - Introduction 5:35 pm - 6:30 pm - Presentation 6:30 pm - 7:00 pm - Questions and Answers Virtual: https://events.vtools.ieee.org/m/415849

The Ethereum Blockchain Game Theory Author: Dr. Nancy M Landreville Friday, May 10, 2024 at 7 PM - 9:30 PM - Virtual Co-sponsored by: Power Energy Speaker(s): Nancy Landreville, Virtual: https://events.vtools.ieee.org/m/419167

Please join us for the monthly administrative meeting of the IEEE Washington Section. All IEEE members in our Section are welcome to attend. IEEE members who wish to volunteer for the Washington Section Administrative Committee are encouraged to attend. Co-sponsored by: Sastry Kompella Agenda: Agenda will be provided soon. Room: Multi-Purpose Room B, Bldg: College park Airport Operations Building, 1909 Corporal Frank Scott Dr , College Park, Maryland, United States, 20740, Virtual: https://events.vtools.ieee.org/m/419961

Founded in 2005, FIRST Team 1708, known as Amp'd Robotics, emerged as a pioneering force in the Greater Pittsburgh area's competitive robotics landscape. Established with the vision of inspiring a passion for science, technology, engineering, and mathematics (STEM) among local students, Amp'd Robotics has consistently demonstrated a commitment to fostering innovation and collaboration. Over the years, the team has actively participated in the FIRST Robotics Competition, FIRST Tech Challenge and FIRST Lego League, engaging students in hands-on robotics challenges that not only enhance technical skills but also instill crucial values such as teamwork, leadership, and gracious professionalism. Amp'd Robotics has become synonymous with excellence, achieving success both on and off the competition field, and leaving an indelible mark on the local STEM education community. Team 1708, Amp'd Robotics, has been on an inspiring journey with the FIRST (For Inspiration and Recognition of Science and Technology) programs, marking over a decade of impactful participation. Since its inception, the team has become a dynamic force, not only in robotics competitions but also in fostering a deep-seated commitment to STEM education, community engagement, and inclusivity. This meeting will discuss the metrics of the program; from the schools we encompass to the three different levels of programs we offer along with the skills we are able to teach the students that go through the program. https://www.facebook.com/Team1708AmpdRobotics/ Co-sponsored by: Pittsburrgh Section Computer Society Speaker(s): Derke Price, Jason Mols, Agenda: 6:00 PM Light dinner 6:30 PM Presentation and Tour 8:00 PM Adjourn 1960 Eden Park Blvd, McKeesport, Pennsylvania, United States, 15132

In this presentation we highlight three emerging technologies that appear to be truly disruptive; that is, they are likely to have such a large impact that they will change the way theoreticians and practitioners think about and accomplish manufacturing and process control. These technologies are Economic Model Predictive Control (EMPC), Deep Reinforcement Learning (DRL), and Open Process Automation (OPA). Economic MPC (EMPC) is a relatively new technology that combines economic optimization with Model Predictive Control. This unification of closed-loop scheduling, economic optimization, and dynamic control provides a new platform for viewing and analyzing manufacturing problems. Reinforcement Learning (RL) is a Machine Learning (ML) technology in which a computer agent learns, through trial and error, the best way to accomplish a particular task. It is likely that DRL will take over some of the more mundane tasks involved in managing manufacturing systems, such as tuning of PID controllers, mitigating disturbances, and recovering from process upsets. Open Process Automation (OPA) will allow manufacturers, whose innovations have been constrained for decades by the limitations of closed, proprietary systems, to experience the benefits of open, interoperable, resilient, secure-by-design automation systems. This will be made possible by the development of the consensus-based Open Process Automation Standard (O-PAS) by the Open Process Automation Forum (OPAF). Speaker(s): Dr. Badgwell, Virtual: https://events.vtools.ieee.org/m/402236

Abstract: The built environment has a data problem. The buildings, cities, water treatment plants, and other human-made systems produce more data now than ever before, opening new possibilities of using data to optimize operation, reduce energy consumption, predict performance, and identify faults. However, the complexity, heterogeneity, and high degree of churn of these systems makes it expensive and difficult to develop software for them. Models, control sequences, data analytics, and other software-based solutions must often be rewritten from scratch for each environment in which they will be deployed. The process of discovering and accessing data is further exacerbated by the lack of standardized structured representations of built environment systems. These challenges significantly impede the adoption of data-driven sustainable practices at societal scale. This talk will explore the use of semantic knowledge graphs to normalize descriptions of the built environment, specifically smart buildings, and reduce the cost of developing and deploying data-driven software in these settings. First, I will describe how ontologies can constrain knowledge graphs to produce useful abstractions of complex cyber-physical systems, as typified by the Brick ontology for smart buildings. Elements of this work are being adapted into new knowledge graph standards for buildings. Next, I will show how knowledge graphs enable novel programming models for "portable software" where programs can adapt their own operation to individual environments, based on queries against the knowledge graph. The talk will also show how these emerging use cases for knowledge graphs contrast with prevailing approaches towards knowledge graph maintenance and management and give rise to new methods for specifying and repairing knowledge graphs. Finally, I will show how these new technologies enable novel applications for smart buildings. Speaker(s): , Dr. Fierro Virtual: https://events.vtools.ieee.org/m/418393