Week of Events
Region 5 Conferences Strategy Meeting October 5, 2024
Building upon our historical successes, this workshop will focus on refining Region 5's conference strategy, with a particular emphasis on the upcoming spring conference in Wichita. We'll engage in a collaborative process to identify key stakeholders, brainstorm innovative conference models, and develop actionable recommendations for future R5 meetings, including the 2025 conference. As the 2025 Conference approaches, it's imperative that we ensure our events continue to meet the evolving needs and goals of our organization. Please book your room by 9/23, through the Hyatt site. You may need to reload page a few times, they are having IT issues. https://www.hyatt.com/shop/rooms/ictzw?location=Hyatt%20Place%20at%20Wichita%20State%20University&checkinDate=2024-10-04&checkoutDate=2024-10-06&rooms=1&adults=1&kids=0&corp_id=G-IEEW Agenda: Friday evening October 4th we’ll have a networking reception from 6 -9. Saturday we’ll meet from 8 - 5, with dinner out somewhere TBD. Sunday morning we’ll meet 8 - noon. (Times are rough pending detailing the agenda). 4703 E. 19th Street North, Wichita, Kansas, United States, 67208, Virtual: https://events.vtools.ieee.org/m/433489
Fighting Misinformation: Digital Literacy (#4)
Fighting Misinformation: Digital Literacy (#4)
Lecture 4 of 6 (75 minutes each) on the topic of Fighting MisInformation: Digital Literacy, that is given at the North East Independent School District Community Education Center. A second topic is "Introduction to Formal Logic" 2 sessions, 75 minutes each). Video lectures with supplemental Information, also co-sponsored by the Academy of Learning in Retirement. Registration handled through NEISD. Co-sponsored by: Warren Conner Bldg: NEISD Community Education Center, 8750 Tesoro Drie, San Antonio, Texas, United States
IEEE Day 2024 – IEEE Oklahoma City Section Celebrations
IEEE Day 2024 – IEEE Oklahoma City Section Celebrations
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
AMA (Ask me Anything) on Data Privacy, Machine Unlearning, and more with Prof. Gautam Kamath (IEEE Day event)
AMA (Ask me Anything) on Data Privacy, Machine Unlearning, and more with Prof. Gautam Kamath (IEEE Day event)
Free Registration (with a Zoom account; you can get one for free if you don't already have it): https://sjsu.zoom.us/meeting/register/tZEuc-GqrTsvGdGE6yu9qQCx1z2PyRVJZaDj Synopsis: After a brief intro highlighting issues and solutions for data privacy in machine learning settings, Prof. Gautam Kamath will answer your questions related to data privacy, machine unlearning, research, academia, career advice, and anything in between. Please feel free to check out the work and thoughts of Prof. Gautam Kamath, Ph.D. from MIT, http://www.gautamkamath.com/ on Google Scholar at https://scholar.google.com/citations?user=MK6zHkYAAAAJ&view_op=list_works&sortby=pubdate, YouTube https://www.youtube.com/results?search_query=gautam+kamath and generally on the Internet. Then, please feel free to submit your questions - via Twitter by using the hashtag, #KamathAMA and tagging @vishnupendyala - emailing vspendyala(at)hotmail(dot)com with #KamathAMA in the subject - during your registration on Zoom Select questions will be answered by Prof. Kamath during the session. Audience may be able to ask follow-up questions during the session. Speaker(s): Dr. Gautam Kamath, Dr. Vishnu S. Pendyala Virtual: https://events.vtools.ieee.org/m/431191
IEEE Day 2024 – IEEE Oklahoma City Section Celebrations
IEEE Day 2024 – IEEE Oklahoma City Section Celebrations
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
Careers in Technology Fall Series 2024 – Paul Berger, PhD 01 October 8pm EST / 7 pm CST
Careers in Technology Fall Series 2024 – Paul Berger, PhD 01 October 8pm EST / 7 pm CST
On this celebratory IEEE Day, let us rejoice in the combined IEEE worldwide activities of 39 technical societies and 7 interdisciplinary councils on one side of the IEEE coin, balanced with local sections and student chapters, bringing a physical presence of IEEE to local communities. By the way, one could argue that IEEE also has a 3rd leg into humanitarian activities. These S/C span a great swathe from hardware to software, including electronic devices, solar/wind energy production, power transmission, control theory, image compression, signal processing, and computer architecture. One could say this moves from applied physics to applied math. However, this session drills down to predominantly 1 of these societies, the electron device society, where the field of semiconductor materials and devices thrives. So, with the USA's Chips and Science Act to onshore semiconductor chip manufacturing, what does this mean to you and your communities. First, the Chips portion supports semiconductor companies to build or expand domestic chip production. The Science portion aims to perform workforce development to populate those factories. Where will this new workforce come from and what do you need to do to prepare for your future? This talk aims to take a critical look at the opportunities before you in the semiconductor industry. With time permitting and audience interest, some discussion in humanitarian roles IEEE plays will also be discussed. Speaker(s): Paul Berger, PhD Virtual: https://events.vtools.ieee.org/m/434305
The First Conscious Learning Algorithm Avoids “Deep Learning” Misconduct
The First Conscious Learning Algorithm Avoids “Deep Learning” Misconduct
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
The First Conscious Learning Algorithm Avoids “Deep Learning” Misconduct
The First Conscious Learning Algorithm Avoids “Deep Learning” Misconduct
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
LSS EXCOM
LSS EXCOM
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
LSS EXCOM
LSS EXCOM
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
Austin IEEE Young Professionals: IEEE Day Tech Talk
Austin IEEE Young Professionals: IEEE Day Tech Talk
Join IEEE Young Professionals for a tech talk by a guest speaker from the power industry. Please park in the unreserved spaces at the parking garage located between Buildings 2 and 4. Visitors can access the parking garage and use the sidewalk to walk to the venue in Building 4. Speaker(s): Jessica McLarty Agenda: 6:00 - 6:30pm: Networking and Food 6:30 - 7:00pm: Announcements and Elections 7:00 - 7:45pm: Technical Presentation 7:45 - 8:00pm: Q&A and Closing Bldg: 4, 6200 Bridge Point Pkwy, Suite 400, Austin, Texas, United States, 78730
Government Relations Committee meeting
Government Relations Committee meeting
Regular meeting for the Government Relations Committee, with consultation with Erik Heilman, Government Relations IEEE-USA. Agenda: Call to order Old Business New Business Consultation with Erik Heilman Action Items Adjourn Virtual: https://events.vtools.ieee.org/m/431503
EMB EXCOM Planning meeting
EMB EXCOM Planning meeting
Lone Star Section EMBS EXCOM Planning meeting Sea Island Shrimp House, 8223 Agora Pkwy, Selma, Texas, United States
A Tour of the Laser Interferometer Gravitational-Wave Observatory (LIGO)
A Tour of the Laser Interferometer Gravitational-Wave Observatory (LIGO)
Topic Join our IEEE Lafayette Section for a tour of the Laser Interferometer Gravitational-Wave Observatory (LIGO) in Livingston, LA! The U.S. National Science Foundation Laser Interferometer Gravitational-Wave Observatory (NSF LIGO), was designed to open the field of gravitational-wave astrophysics through the direct detection of gravitational waves predicted by Einstein’s General Theory of Relativity. NSF LIGO's multi-kilometer-scale gravitational wave detectors use laser interferometry to measure the minute ripples in space-time caused by passing gravitational waves from cataclysmic cosmic events such as colliding neutron stars or black holes, or by supernovae. NSF LIGO comprises two widely-separated interferometers within the United States—one in Hanford, Washington and the other in Livingston, Louisiana—operated in unison to detect gravitational waves. LIGO made its first detection of gravitational waves, generated by a pair of colliding black holes some 1.3 billion light years away. Since that historic day, LIGO's engineers have continued to improve the detectors' sensitivities. The success of these improvements is evidenced by the many more gravitational wave detections that have since been made. Ultimately, with continued refinement and upgrading, LIGO's detectors will achieve a sensitivity 10 times greater than Initial LIGO, bringing 1000 times more galaxies into our observational range. Agenda Tour will take place at LIGO in Livingston, LA on Saturday, October 5th. LIGO is located at 19100 Ligo Rd, Livingston, LA 70754 - searching "LIGO Livingston" in Google Maps will direct you to the parking lot area. We will meet in the parking lot as a group for 10:05 AM and the tour will start at 10:15 AM and will last 1.5 to 2 hours. Please make sure you are there on time so we do not leave you behind! Register by Wednesday, October 2nd, 2024 at 2:00 pm to let us know you will be attending so we can let LIGO know a head count. [] LIGO, LIGO Road, Livingston, Louisiana, United States, 70754