The combined Santa Clara Valley, San Francisco, & Oakland/East Bay IEEE PELS is very pleased to invite you to our upcoming online webinar. We are excited and honored to have Prof. Qianwen Xu of the KTH Royal Institute of Technology, Sweden to speak on the topic of AI and Digitalization as Enablers of the Clean Energy Transition. Here's more about the talk from the Speaker: As we transition towards a climate-neutral society, future energy systems will increasingly feature high shares of renewable energy sources and power electronic converters. However, these advancements introduce significant challenges in maintaining power balance and system stability. This talk will explore how AI helps to address these challenges. Specifically, the talk focuses on transfer learning based modeling for converter interfaced assets, digital twin development of power systems, and safe deep reinforcement learning for grid optimization with numerous converter interfaced renewable energy sources. This talk targets those interested in tech-driven environmental sustainability, offering insights into how digital advances support the clean energy transition. Virtual: https://events.vtools.ieee.org/m/443097

The combined Santa Clara Valley, San Francisco, & Oakland/East Bay IEEE PELS is very pleased to invite you to our upcoming online webinar. We are excited and honored to have Prof. Qianwen Xu of the KTH Royal Institute of Technology, Sweden to speak on the topic of AI and Digitalization as Enablers of the Clean Energy Transition. Here's more about the talk from the Speaker: As we transition towards a climate-neutral society, future energy systems will increasingly feature high shares of renewable energy sources and power electronic converters. However, these advancements introduce significant challenges in maintaining power balance and system stability. This talk will explore how AI helps to address these challenges. Specifically, the talk focuses on transfer learning based modeling for converter interfaced assets, digital twin development of power systems, and safe deep reinforcement learning for grid optimization with numerous converter interfaced renewable energy sources. This talk targets those interested in tech-driven environmental sustainability, offering insights into how digital advances support the clean energy transition. Virtual: https://events.vtools.ieee.org/m/443097

This is a hybrid in-person and online event. Pre-registration is required for either. Ransomware is wreaking havoc on our society, and costing billions of dollars. This presentation will describe a novel approach for fighting against a problem that is growing ever worse as the demand for reliable data storage grows. The technique captures statistics about incoming data, and feeds this data into an AI-trained model in real time. A key aspect of its success is that it operates as part of the firmware that manages the flash memory-based storage system itself. This talk will describe how this approach to this sticky problem has been successfully deployed in large production systems. Included will be a discussion of how the results coming back are also able to improve the model over time, how this allows for detecting corruption very early, and so is able to significantly reduce the time to recover. Speaker(s): Andrew Walls, 673 South Milpitas Blvd., Milpitas, California, United States, 95035, Virtual: https://events.vtools.ieee.org/m/441677