Events for March 17, 2026

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

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. 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/546238