IEEE Region 5

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

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 Wilson Agenda: 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

2024 Fall IEEE OKC Webinar Series IEEE 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, PhD IEEE Life Fellow Founder & President Brain-Mind Institute, Michigan, USA GENISAMA 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 Tiako Agenda: 08:55am - 09:00am Virtual Meeting Speaker Introduction 09:00am - 09:45am Virtual Meeting Keynote 09:45pm - 10:00am Virtual Meeting Q &A Virtual: 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

Monthly Lone Star Section Executive Committee Meeting Room: 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

This dynamic session uses case studies drawn from the IEEE community to help you dramatically improve your ability to use hybrid work as an instrument to improve retention and productivity while cutting costs. Many leaders rely on traditional office-centric collaboration and leadership styles in managing hybrid teams. Yet research conclusively demonstrates that, instead of incrementally improving on the old-school office-centric approach, the best outcomes in managing hybrid teams come from adopting a flexible hybrid-first work model. Doing so results in much higher retention and productivity, reduces costs, and boosts engagement, innovation, collaboration, and risk mitigation. Through adopting hybrid work best practices based on this training, you will empower yourself and your team to maximize retention, productivity, and cost savings in our increasingly-disrupted future of work.All attendees will have an opportunity to receive a complimentary copy of the speaker's best-selling book on which this talk is based, called Returning to the Office and Leading Hybrid and Remote Teams.Speaker(s): Dr. Gleb TsipurskyAgenda: 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/427447

This dynamic session uses case studies drawn from the IEEE community to help you dramatically improve your ability to use hybrid work as an instrument to improve retention and productivity while cutting costs. Many leaders rely on traditional office-centric collaboration and leadership styles in managing hybrid teams. Yet research conclusively demonstrates that, instead of incrementally improving on the old-school office-centric approach, the best outcomes in managing hybrid teams come from adopting a flexible hybrid-first work model. Doing so results in much higher retention and productivity, reduces costs, and boosts engagement, innovation, collaboration, and risk mitigation. Through adopting hybrid work best practices based on this training, you will empower yourself and your team to maximize retention, productivity, and cost savings in our increasingly-disrupted future of work.All attendees will have an opportunity to receive a complimentary copy of the speaker's best-selling book on which this talk is based, called Returning to the Office and Leading Hybrid and Remote Teams. Speaker(s): Dr. Gleb Tsipursky 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/427447

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

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: Lunch 12:30pm: Technical talk and discussion 1::00pm: adjourn La Fonda Alamo Heights, 8633 Crownhill Blvd,, San Antonio, Texas, United States

This webinar is a collaboration between IEEE-USA Career & Member Services and IEEE Women in Engineering (WIE). Trying to re-enter the workforce after an extended absence presents challenges, and can be a daunting task. Changes have happened in the workplace and in technologies used. The atmosphere and expectations may have changed (for example, the impacts COVID had on remote work for many jobs!) You have changed… and self-doubt may have crept in after being away! However, preparing in advance is the key to easing the challenges. In this talk, you will hear about my own return to work after 12 years of minimal part-time employment in my field, and also information from my own research into what experts recommend. You will learn: - What is an extended absence (and the impact of how long “extended” is!) - Why it is important to prepare for returning - When to start preparing - How to prepare - Who to seek out for support / assistance - Where to look for opportunities Speaker(s): Jill Gostin 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/427453

RS&H engineering discussion and job information. One University Way, San Antonio, Texas, United States, 78224