Events

Meeting for general administration and operation of the Black Hills Subsection. Virtual: https://events.vtools.ieee.org/m/539244

Abstract: Agentic AI systems represent a shift from stateless model inference to long-running, autonomous, and distributed intelligent entities that reason, coordinate, and act within complex environments. This session frames Agentic AI as a systems design problem and draws on established principles from distributed systems to introduce reusable architectural patterns for building reliable and governable agentic systems. Key patterns—including planner–executor separation, consensus-based decision making, event-driven agents, and shared memory with eventual consistency—are examined through real-world system behaviors and failure modes. The discussion highlights how these patterns improve robustness, observability, and human oversight while mitigating risks such as hallucination propagation and uncontrolled autonomy. The session concludes by outlining open research challenges in verification, consistency, and testing of emergent agent behavior. Speaker(s): Subbarao Pydikondala, Room: Third Floor, ECNT 312 Conference Room (B_ECNT), Bldg: 422 UCB, 1111 Engineering Drive, Boulder, CO , Colorado, United States, 80309-0422

Physical AI at the Edge: Autonomous Drones, Embedded Vision, and Hardware-Optimized Learning Edge AI is redefining how intelligent systems operate in real-world, bandwidth-limited, and safety-critical environments. Rather than relying on centralized cloud infrastructure, next-generation autonomous platforms demand low-latency, energy-efficient, and hardware-aware intelligence deployed directly at the edge. This guest lecture presents a systems-level perspective on designing edge-native AI architectures spanning three converging domains: autonomous drone platforms, embedded computer vision, and lightweight large language models (LLMs). We will examine how drone autonomy benefits from onboard perception-action loops, real-time multi-modal sensing, and closed-loop control frameworks that operate without persistent cloud connectivity. The talk further explores edge-optimized vision pipelines for agricultural and environmental monitoring, including model compression, quantization, spectral-RGB fusion, and real-time deployment on resource-constrained hardware such as Jetson, FPGA, and heterogeneous SoCs. Finally, we discuss the emerging role of LLMs in physical AI systems, not as chat interfaces, but as structured reasoning engines integrated with robotic sensing and decision pipelines. Hardware-aware optimization strategies, including pruning, mixed-precision inference, memory- latency tradeoffs, and accelerator-centric design, will be highlighted as key enablers of scalable deployment. This invited talk concludes by outlining a unifying design framework for building autonomous, interpretable, and deployable edge intelligence systems across agriculture, environmental monitoring, and cyber-physical domains. All are welcome! You do not need to be a member to attend. If you are interested and unable to attend, please register and a recording will be sent out after the event. Speaker(s): Prabha , Virtual: https://events.vtools.ieee.org/m/531954

We invite you to join us for this incredible opportunity to expand your technical horizons while enjoying great food and networking! We are thrilled to welcome our guest speaker, Prof. Frank Barnes who will share insights and expertise on Effects of Weak Radio Wave and Magnetic Fields on Biological Systems. Whether you are a professional, recent graduate, or student passionate about technology, this dine and learn offers an evening of learning, dining, and meaningful connections with fellow IEEE members. Talk Abstract: In this talk we will provide a short review of some of the history on the setting safety standards for the exposures to electromagnetic fields at both low frequencies and radio frequencies. This will be followed up with brief review of some of the physics and chemistry that enable biological systems to sense very weak fields and to use them as communications and controls systems to change the growth rates of cancer cells and bacteria. We will also show that growing cancer cells and bacteria emit very weak radio waves. The talk finishes with a review of few papers showing detrimental biological effects well below current safety guidelines and some positive therapeutic applications. Speaker Bio: Dr. Frank Barnes. Professor Emeritus Electrical Computer and Energy Engineering University of Colorado Boulder He and his students have worked on large verity of subjects since 1959 ranging from maser and lasers, semiconductor devices through energy storage systems, telecommunication and effects of electromagnetic fields on biological systems. Since 2014, he and his students have largely concentrated on trying to understand how weak magnetic and radio frequency fields modify the growth rates of cancer cells and bacteria building up from the quantum mechanics nuclear pairs in large biological models through changes in chemical reaction rates to changes in the biology, and possible health effects. Dr. Frank Barnes received his B.S. from Princeton University in electrical engineering in 1954, his M.S. Engineer and PhD from Stanford University in 1955, 1956, and 1958. He joined the University of Colorado in 1959. He was appointed a Distinguished Professor in 1997. He was elected to the National Academy of Engineering in 2001 and received the Gordon Prize 2004 for innovations in Engineering Education from the National Academy. He is a fellow of IEEE, AAAS, and served as Vice President of IEEE for publication and as Chairman of the Electron Device Society and President of the Bioelectromagnetics Society, and as U.S. Chair of Commission K-International Union of Radio Sciences (URSI). He and his students have built lasers, flash lamps, super conductors, avalanche photo diodes and other electron devices. Recently they have been studying the effects weak magnetic field on radical concentrations and changes in the growth rate of cancers and other cells. The event will take place in the conference space on the fifth-floor atrium in the Engineering and Computer Science building at the University of Denver. Parking: TBD Speaker(s): Prof. Barnes Agenda: The event will take place in the conference space on the fifth-floor atrium in the Engineering and Computer Science building at the University of Denver. 6:00 PM-6:30 PM Food and networking 6:30 PM-7:30 PM Talk/Presentation 7:30 PM-8:30 PM Q&A and Discussion 8:30 PM Adjourn Room: Conference Space on The Fifth-Floor Atrium, Bldg: Engineering and Computer Science , 2155 E Wesley Ave, University of Denver, Denver, Colorado, United States, 80210, Virtual: https://events.vtools.ieee.org/m/540204

Come join us at Resolute Brewing Company and meet some of your fellow IEEE AESS-SPS members and officers. Food provided. Food truck: Gyros King 7286 S Yosemite St. #110, Centennial, Colorado, United States, 80112

Abstract: Entangled photons possess nonclassical correlations that can be harnessed for imaging. In contrast to conventional optical imaging, quantum imaging based on coincidence detection of entangled photons demonstrated super-resolution beyond the classical diffraction limit. We will present both experimental imaging results and the underlying theoretical framework that explains these advantages. Because photons originate from atoms and molecules, our work also examines atomic physics at the interface between classical and quantum formalisms. We show that the Bloch equation, traditionally regarded as a classical equation of motion, can be reformulated to yield the quantum von Neumann and Schrödinger equations. This correspondence reveals a classical origin for the standard quantum spin equations and clarifies the relationship between the two descriptions. We have further developed a theory that models the multistage Stern–Gerlach experiment envisioned by Heisenberg and Einstein and conducted by Frische and Segre, with improved accuracy compared to existing treatments. More recently, we performed quantum measurements of atomic beam splitting under extremely low magnetic field gradients. Conventional Stern–Gerlach experiments rely on strong gradients to spatially resolve the split beams. In contrast, we use optical spectroscopy to resolve spatially overlapping atomic distributions that would otherwise appear inseparable, thereby enabling low-field quantum measurements. While conventional theoretical models agree with experiments at high magnetic fields, they exhibit noticeable discrepancies as the magnetic field gradient approaches zero. Our theory remains consistent with experimental observations across the entire field range. A key outcome of this work is an estimate of the electron spin collapse time, expressed in dimensionless units of Larmor precession cycles. For the three-stage Stern–Gerlach configuration, our validation constitutes a retrospective agreement with historical data. In the single-stage configuration, the test is prospective. The theoretical framework was fixed before the low-field experimental data were acquired, ensuring that no post hoc adjustments to the theory were introduced. Speaker(s): Lihong, Boulder, Colorado, United States

Come with us on a group tour of the Mission Operations area at Lockheed Martin's Waterton campus where several Deep-Space missions are controlled and monitored. Due to access on Lockheed Martin property, the tour is limited to US persons (citizens and green card aliens.) A list of all attendees must be provided to Lockheed a week prior to the tour. The tour will meet at the Visitor Control building at 3:30 pm to process visitor badges prior to the event. The tour will start at 4:00 pm. Bldg: Visitor Control and Badging, 12257 S Wadsworth Blvd, Littleton, Colorado, United States, 80127

DU Women in STEM, Zayo Group, #wie5280, and Rocky Mountain SWE invite you to join our 7th Annual Bridges to Tomorrow Event: Women Engineering AI Solutions That Matter. Ritchie School students will kick off the event with an interactive AI demonstration comparing how different large language models respond to prompts suggested by the audience. Attendees will submit short prompts—serious, fun, or thought‑provoking—and students will show the models’ outputs side by side, highlighting differences in reasoning, accuracy, creativity, and bias. This hands‑on segment sets an engaging and curious tone for the conversation ahead. Panel Topic: Women Engineering AI Solutions That Matter Join us for a conversation on how AI is transforming everything from career growth and business innovation to engineering solutions and everyday tasks. Our panel will demystify AI safety, ethics, and the future skills students and professionals need to succeed. Co-sponsored by: DU Women in STEM, Zayo Group, and Rocky Mountain SWE Speaker(s): Crys, Jasmine , Susan, Danika Agenda: 6:00 pm Networking 6:15 pm AI Demo 6:30 pm Panel Discussion 7:45 pm Wrap up Room: 510, Bldg: Ritchie School of Engineering and Computer Science , 2155 E. Wesley Avenue, Denver, Colorado, United States, 80208