IEEE Region 5

Monthly Lone Star Section Executive Committee MeetingRoom: CR 1.102, Bldg: 168, Southwest Research Institute, 6220 Culebra Road, San Antonio, Texas, United States, 78238, Virtual: https://events.vtools.ieee.org/m/395077

Engineers traditionally use deterministic modeling in their tasks, but challenges for developing and optimizing products and processes inspire us to venture beyond deterministic to probabilistic or stochastic modeling. In this continuation from the prior presentation, a case study applying predictive engineering for the optimization of 4 requirements for an integrated circuit (Integrated Alternator Regulator for automobiles) will be shared. Deterministic models were derived by using design of experiments (DOE) and response surface modeling (RSM) in concert with circuit simulations. These deterministic models were melded with probabilistic modeling using Monte Carlo Simulation and Variance Transmission. Yield Surface Modeling™ will be introduced and shared and applied for stochastic co-optimization of the four requirements of the design. Brief summaries and overviews of other applications of predictive engineering to integrated circuit design stochastic optimization will be shared.[]Co-sponsored by: Ad Astra FoundationSpeaker(s): Eric Maass, PhDVirtual: https://events.vtools.ieee.org/m/424630

Even if this subject existed before for decades, it is important to revisit the perspectives through all actual different viewpoints. During this presentation, the size of the object is considered, distance is encompassed and time delay subsumed. With this aim, we will approach why teleoperation/presence is part of actual sensitive domains like safe and secure communication, why some solutions can be solved through Virtual Reality, and finally what has to be taken into account for applications!Speaker(s): Jean-GuyVirtual: https://events.vtools.ieee.org/m/411375

There is a $15.00 charge for each registrant. Guests and non-members charge is $20.00 and Students are $5.00. Remainder of the tab will be picked up by the EMB.Speaker(s): TBD, Agenda: 11:30am: Business meeting: Call to order, minutes of last meeting, treasurer's report, new business,12:00pm: Lunch12:30pm: Technical talk and discussion1::00pm: adjournLa Fonda Alamo Heights, 8633 Crownhill Blvd, San Antonio, Texas, United States

drones rc cars information about ieee etcOne University Way, San Antonio, Texas, United States, 78224

Speaker(s): Alise Civello, John DiCalogeroAgenda: 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/427444

Discussing her work in electrical engineering and the transition into patent law.Speaker(s): Moriah, Virtual: https://events.vtools.ieee.org/m/425682

This is a virtual meet-up to celebrate IEEE Day 2024 in the Oklahoma City Section and associated Chapter, Societies, and Affinity groups.What is IEEE Day?IEEE Day is an annual event that celebrates the first time in history when engineers worldwide gathered to share their technical ideas in 1884. One of the IEEE Day’s objectives is to show the ways IEEE members, in local communities, join together to collaborate on ideas that leverage technology for a better tomorrow.Co-sponsored by: Jeffrey WilsonAgenda: Agenda will be provided by the event coordinators when finalized.Oklahoma City, Oklahoma, United States, Virtual: https://events.vtools.ieee.org/m/404703

2024 Fall IEEE OKC Webinar SeriesIEEE OKC invites you to join the event below, organized by Oklahoma International Publishing, as part of its 2024 Fall OkIP Conferences on Wednesday, October 2, 2024.This virtual event is free of charge to IEEE Oklahoma City members. Please register ahead of time to receive the proper instructions for remote participation:>> Speaker:Prof. Juyang Weng, PhDIEEE Life FellowFounder & PresidentBrain-Mind Institute, Michigan, USAGENISAMA LLC, Michigan, USA>> Talk:The First Conscious Learning Algorithm Avoids “Deep Learning” Misconduct>>> Abstract:From a fruit fly to a human, with many animal species in between, do they share a set of biological mechanisms to regulate the lifelong development of the brains? We have seen very impressive advances in understanding the principles of neuroscience. However, what is still missing is a holistic algorithm that is both broad and deep. By broad, we mean it approximates such mechanisms across a range of species. By deep, we mean that it specifies sufficient details so that the algorithm can be biologically and computationally verified and possibly corrected across a deep hierarchy of scales, from neurotransmitters, to cells, to brain patterns, to behaviors, to intelligence, to consciousness across the time span of a life. This talk outlines such a conscious learning algorithm, the first in the category as far as the presenter is aware of, called Developmental Network 3 (DN-3). All its predecessors, Cresceptron, IHDR, DN-1 and DN-2 were not capable of conscious learning till DN-3. A major extension from DN-2 to DN-3 is that the model starts from a single cell inside the skull so that brain patterning is fully automatic in a coarse to fine way. This biological model has been supported by computational experiments with real sensory data for vision, audition, natural languages, and planning, to be presented during the talk. This first ever algorithm for conscious learning is free from “deep learning” misconduct, including ChatGPT.>>> About the speaker:Prof. Juyang Weng received the BS degree from Fudan University, in 1982, M. Sc. and PhD degrees from the University of Illinois at Urbana-Champaign, in 1985 and 1989, respectively, all in computer science. He is a former faculty member of Department of Computer Science and Engineering, faculty member of the Cognitive Science Program, and faculty member of the Neuroscience Program at Michigan State University, East Lansing. He was a visiting professor at the Computer Science School of Fudan University, Nov. 2003 - March 2014, and did sabbatical research at MIT, at Media Lab Fall 1999 – Spring 2000; and at Department of Brain and Cognitive Science Fall 2006-Spring 2007 and taught BCS9.915/EECS6.887 Computational Cognitive and Neural Development during Spring 2007. Since the work of Cresceptron (ICCV 1993) the first deep learning neural networks for 3D world without post-selection misconduct, he expanded his research interests in biologically inspired systems to developmental learning, including perception, cognition, behaviors, motivation, machine thinking, and conscious learning models. He has published over 300 research articles on related subjects, including task muddiness, intelligence metrics, brain-mind architectures, emergent Turing machines, autonomous programing for general purposes (APFGP), Post-Selection flaws in “deep learning”, vision, audition, touch, attention, detection, recognition, autonomous navigation, and natural language understanding. He published with T. S. Huang and N. Ahuja a research monograph titled Motion and Structure from Image Sequences. He authored a book titled Natural and Artificial Intelligence: Computational Introduction to Computational Brain-Mind. Dr. Weng is an Editor-in-Chief of the International Journal of Humanoid Robotics, the Editor-in-Chief of the Brain-Mind Magazine, and an associate editor of the IEEE Transactions on Autonomous Mental Development (now Cognitive and Developmental Systems). With others’ support, he initiated the series of International Conference on Development and Learning (ICDL), the IEEE Transactions on Autonomous Mental Development, the Brain-Mind Institute, and the startup GENISAMA LLC. He was an associate editor of the IEEE Transactions on Pattern Recognition and Machine Intelligence and the IEEE Transactions on Image Processing.Co-sponsored by: Pierre TiakoAgenda: 08:55am - 09:00am Virtual Meeting Speaker Introduction09:00am - 09:45am Virtual Meeting Keynote09:45pm - 10:00am Virtual Meeting Q &AVirtual: https://events.vtools.ieee.org/m/417712

Monthly Lone Star Section Executive Committee MeetingRoom: CR 1.102, Bldg: 168, Southwest Research Institute, 6220 Culebra Road, San Antonio, Texas, United States, 78238, Virtual: https://events.vtools.ieee.org/m/395080