See the Upcoming Events for Denver Section in a List Format. This list maybe more current than the Calendar below.
See the list of Upcoming Colorado Conferences
Week of Events
October Executive Committee Meeting
October Executive Committee Meeting
Meeting time Austins, Harmony, Fort Collins, Colorado, United States, 80525
IEEE Denver ExCom October 2024 Meeting (In Person and Webex)
IEEE Denver ExCom October 2024 Meeting (In Person and Webex)
In Person attendance at Original Brooklyn's, 2644 W Colfax Ave, Denver, CO 80204. NOTE On Parking: They have been changing which lots they ask you to park in so look at the sign in front of the front door. Last time was lots S,V, or T. There is a QR code inside Brooklyns that will ask for your license plate number, but no payment method is needed. Remote attendance via WebEx call-in: Denver Excom Meeting Hosted by IEEE Denver Section https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m4fa1461a887d1a94fd52de51e94aa369 3rd Tuesday 6:00 PM | 2 hours 30 minutes | (UTC-06:00) Mountain Time (US & Canada) Occurs the third Tuesday of every month effective 6/15/2021 from 6:00 PM to 8:30 PM, (UTC-06:00) Mountain Time (US & Canada) Meeting number: 596 761 562 Password: huVJgx2N7b7 Join by video system Dial 596761562@ieeemeetings.webex.com You can also dial 173.243.2.68 and enter your meeting number. Join by phone +1-415-655-0002 United States Toll 1-855-282-6330 United States Toll Free Access code: 596 761 562 Agenda: - Meals and Socializing 6-6:30pm - Roll Call, Introductions, and Verification of a Quorum - Additions to the Agenda - Officer Reports - Student/ Affinity Group / Chapter Updates - Committee Reports - Old Business - Other Items & New Business - Adjourn Original Brooklyn's, 2644 W Colfax Ave, Denver, Colorado, United States, 80204, Virtual: https://events.vtools.ieee.org/m/432904
CIR & CIS: How to Design a Product that Actually Works
CIR & CIS: How to Design a Product that Actually Works
Presentation: How to Design a Product that Actually Works Abstract: Many electronic products just don’t work very well. The products are full of both hardware and software bugs and often fail right out of the box or within a few weeks. Then the product joins millions of other pieces of junk in the landfill. Learn how to put in just a small amount of extra effort that makes the difference between a product that is junk and a product that is useful, manufacturable, and profitable. From getting the requirements correct, to passing electromagnetic interference tests that every product is required to pass by the FCC, to being able to build thousands or millions in the factory, there are pitfalls easily avoided every step of the way. Join Dr. Steve Murphy and the IEEE CIR for a discussion on the planning, design, and improvement involved with the designing of a “Good Electronic Product”. Speaker(s): Dr Steven Murphy, Virtual: https://events.vtools.ieee.org/m/435806
IEEE Distinguished Lecture: Probabilistic Computing With p-Bits: Optimization, Machine Learning and Quantum Simulation
IEEE Distinguished Lecture: Probabilistic Computing With p-Bits: Optimization, Machine Learning and Quantum Simulation
IEEE Distinguished Lecture The slowing down of Moore’s Law growth has coincided with escalating computational demands from machine learning and artificial intelligence. An emerging trend in computing involves building physics-inspired computers that leverage the intrinsic properties of physical systems for specific domains of applications. Probabilistic computing with probabilistic bits (p-bits) has emerged as a promising candidate in this area, offering an energy-efficient approach to probabilistic algorithms and applications -. Several implementations of p-bits, ranging from standard complementary metal oxide semiconductor (CMOS) technology to nanodevices, have been demonstrated. Among these, the most promising p-bits appear to be based on stochastic magnetic tunnel junctions (sMTJs) . Such sMTJs harness the natural randomness in low-barrier nanomagnets to create energy-efficient and fast fluctuations, up to gigahertz frequencies . In this talk, I will discuss how magnetic p-bits can be combined with conventional CMOS to create hybrid probabilistic-classical computers for various applications. I will provide recent examples of how p-bits are naturally applicable to combinatorial optimization, such as solving the Boolean satisfiability problem , energy-based generative machine learning models like deep Boltzmann machines, and quantum simulation for investigating many-body quantum systems. Through experimentally informed projections for scaled p-bit computers using sMTJs, I will demonstrate how physics-inspired probabilistic computing can lead to graphics-processing-unit-like success stories for a sustainable future in computing. S. Chowdhury, A. Grimaldi, N. A. Aadit, S. Niazi, M. Mohseni, S. Kanai, H. Ohno, S. Fukami, L. Theogarajan, G. Finocchio, S. Datta, K. Y. Camsari, “A Full-Stack View of Probabilistic Computing with p-Bits: Devices, Architectures and Algorithms,” IEEE J. Expl. Solid-State Comp. Dev. Cir. 9, 1-11 (2023). W. A. Borders, A. Z. Pervaiz, S. Fukami, K. Y. Camsari, H. Ohno, S. Datta, “Integer Factorization Using Stochastic Magnetic Tunnel Junctions,” Nature 573, 390-393 (2019). N. A. Aadit, A. Grimaldi, M. Carpentieri, L. Theogarajan, J. M. Martinis, G. Finocchio, K. Y. Camsari, “Massively Parallel Probabilistic Computing with Sparse Ising Machines,” Nature Electronics 5, 460–468 (2022). N. S. Singh, S. Niazi, S. Chowdhury, K. Selcuk, H. Kaneko, K. Kobayashi, S. Kanai, H. Ohno, S. Fukami, K. Y. Camsari, “Hardware Demonstration of Feedforward Stochastic Neural Networks with Fast MTJ-Based p-Bits,” IEEE Int. Electron Dev. Meeting (2023). Speaker(s): Kerem Camsari, Room: 81-1A116, Bldg: 81, NIST 325 Broadway, Boulder, Colorado, United States
The Future of Work: Engaged Leadership and Empowered Teams.
The Future of Work: Engaged Leadership and Empowered Teams.
Do you still use a landline with rotary dial to make telephone calls? No! You should not be using mid-20th Century leadership practices either! Twentieth century leadership practices are no longer effective. In today's dynamic business landscape, marked by hybrid and remote work, our greatest challenge isn't just managing effectively—it's leading with trust. For 21st century workplaces, the key to success lies in this trust-based leadership. Why? Because trusted employees are committed employees. To enhance retention by up to 65% and increase productivity by as much as 50%, we need to cultivate Engaged Leadership skills alongside traditional management capabilities. How do we cultivate the Engaged Leadership skills which can engender trust? The answer lies in learning and practice. This workshop uses real stories from industry to illustrate the differences between engaged and disengaged leadership practices, between empowered and disempowered teams, and between trusted and untrusted cultures. If you have questions you would like to submit before the presentation, please submit them (https://events.vtools.ieee.org/tego_/event/edit/here.https:/forms.gle/121TeMgMAu2MEJtv7) (https://events.vtools.ieee.org/tego_/event/edit/here.https:/forms.gle/121TeMgMAu2MEJtv7) Speaker(s): Leslie, Virtual: https://events.vtools.ieee.org/m/427394
An Overview of Quasi-static Parasitic Extraction Using Ansys Q3D Extractor: Technologies and Applications- Sanjay Velamparambil, Principal R&D Engineer, Ansys Inc.
An Overview of Quasi-static Parasitic Extraction Using Ansys Q3D Extractor: Technologies and Applications- Sanjay Velamparambil, Principal R&D Engineer, Ansys Inc.
Ansys Q3D Extractor is a part of the Ansys Electronic Desktop that is designed for RLCG extraction under quasi-static assumptions. It has been under continuous development for the last three decades, both as a series of incremental changes as well as technological leaps. Traditionally, it has been used in extracting parasitic (undesirable) coupling between various parts of a structure, such as a PCB or a package, for signal integrity analysis. Q3D Extractor generates accurate RLCG (circuit) models that can be consumed by other tools such as SPICE. In recent years, its capabilities have been extended for modeling touch screens, such as those found in modern phones, and power electronics circuits such as those found in automobiles. Q3D Extractor primarily relies on three different solvers: a DC resistance/inductance solver that uses a finite element method (FEM), a capacitance/conductance solver that uses a fast surface integral equation solver and an AC resistance/inductance solver that also uses a surface integral equation method. Both the CG and ACRL solvers use high performance, parallelized, fast solvers for handling large problems. Sanjay will present an overview of its capabilities, applications and underlying technologies in this presentation. Please note the parking map Agenda: 6:00 pm Doors Open 6:30 pm Online Broadcast starts, welcome-Kris Waage 6:40 pm Did'ja Hear? See description below-Scott Evans 7:00 pm Main Presentation-Sanjay Velamparambil 8:00 End Advanced Energy Inc, 1625 Sharp Point Drive, Fort Collins, Colorado, United States, 80525
Development and Future Trends of Electric Cooperatives & Insights on FE and PE Exam Preparation
Development and Future Trends of Electric Cooperatives & Insights on FE and PE Exam Preparation
This event will delve into the evolution and future trajectory of electric cooperatives in the energy landscape. The presentation will highlight the role of electric cooperatives in enhancing energy access, their unique challenges, and opportunities for innovation in renewable integration, smart grid technologies, and community-centric power systems. Additionally, the session will share practical strategies and experiences related to the FE and PE exams, providing valuable guidance for aspiring engineers. This event aims to equip attendees with insights into both the professional landscape of electric cooperatives and essential steps for career advancement in electrical engineering. Speaker(s): Sean Bestgen Room: 254, Bldg: EEP, South Dakota School of Mines and Technology , Rapid City, South Dakota, United States, 57701