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2 events,
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[] Electric energy systems are undergoing profound changes as they become increasingly interdependent with other infrastructures. The most vital foundational system that enables almost all other services. The changes originate from within (new key components, such as inverters and storage), from the expanding system boundaries (transportation), and strengthened connections with other societal infrastructures, communications, water,... Read more
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2025 October Pickleball on a Rooftop hosted by the IEEE Orange County Young Professionals Affinity Group Join us for an fun evening of pickleball on a rooftop court in Costa Mesa! [] Park at the Westin South Coast Plaza hotel parking lot and go up to the roof top level. There are stairs or an... Read more |
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We are in the midst of an artificial intelligence (AI) revolution. It may seem that AI development is recent, but the term AI was coined (1955) not too long after the invention of computing devices. However, the idea that a machine can behave like a human being is even older. The term “automaton” was used... Read more |
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Abstract: In this talk, I will introduce the difference between classical bits (0/1) and qubits, which draw power from superposition and entanglement. I will explain, in plain terms, how superposition encodes many possibilities at once and how entanglement creates correlations no classical system can mimic, enabling quantum algorithms to traverse multiple solution paths more efficiently... Read more |
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2 events,
[] http://www.scair2025.org/ The Southern California AI and Robotics Symposium 2025 (SCAIR25) brings together leading researchers, industry professionals, and students to explore the latest advancements in artificial intelligence and robotics. This two-day event features keynote speeches, technical sessions, workshops, and networking opportunities. SCAIR 2025 is hosted by California State Polytechnic University, Pomona, CA, this year. This... Read more
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The growing complexity of modern power systems and the proliferation of inverter-based resources (IBRs) demand intelligent, adaptive, and autonomous control strategies. Traditional tuning approaches for inverter controllers often rely on linearized models, fixed assumptions, or manual parameter optimization methods that are increasingly inadequate in dynamic, data-rich grid environments. In this talk, a reinforcement learning (RL)-based... Read more |
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[] Abstract: Soft robotics has opened new opportunities to design machines that interact safely and adaptively with the physical world. Reconfigurable robots have shown advantages of performing versatile tasks through morphing their structure. A central challenge remains: how can we engineer robots that are not only soft, but also reconfigurable and adapt on-demand for various... Read more |
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