Filters

Changing any of the form inputs will cause the list of events to refresh with the filtered results.

4th IEEE Workshop on Interconnections of Renewables & Energy Storage to Electric Grids

Room: DT-LL-1 & DT-LL-2, Bldg: AES Ohio Office, 1065 Woodman Drive, Dayton, Ohio, United States, 45432, Virtual: https://events.vtools.ieee.org/m/406059

This one-day workshop focuses on planning, operations, modeling, analysis, and implementation of transmission & distribution connected renewables & energy storage, and their impacts on the system. There will be 4 utility executives and 2 members from the National Academy of Engineering (NAE) to participate along with over a dozen of renowned speakers and panelists from utilities, vendors, consultants, universities, and national labs. Seven PDHs will be provided to attendees who attend the entire workshop in person or online. This is a great and uncommon opportunity for you to learn & discuss those cutting-edge technologies with experts from various perspectives. Please RSVP before April 21st with the correct email address. The registration fee (for both in-person and remote attendees) is only $20 for non-IEEE members and $15 for IEEE members, which will cover all food, refreshments, beverages, and PDH certificates if needed. Look forward to seeing you at Dayton! Logistic Notes: Free parking will be available in the AES Ohio facility following guidance. Lunch, morning refreshments, and coffee will be provided to in-person attendees and covered by the registration fees. Students and invited panelists/speakers can send an email to [email protected] for registration by waiving the registration fees. Agenda: [] Room: DT-LL-1 & DT-LL-2, Bldg: AES Ohio Office, 1065 Woodman Drive, Dayton, Ohio, United States, 45432, Virtual: https://events.vtools.ieee.org/m/406059

Introduction to Generative AI and Large Language Models

Virtual: https://events.vtools.ieee.org/m/418361

From the GAO Science & Tech Spotlight (https://www.gao.gov/products/gao-23-106782), “Generative artificial intelligence (AI) is a technology that can create content, including text, images, audio, or video, when prompted by a user. Generative AI systems create responses using algorithms that are trained often on open-source information, such as text and images from the internet. However, generative AI systems are not cognitive and lack human judgment.” Recently, the OMB, DoD, USAF, and USSF have all published various policies and guidance on use of these new technologies for different government and defense use cases. With how rapidly this technology has been proliferating through various aspects of society, educators and researchers need to be able to learn how to effectively use and teach the use of these new capabilities while still following guidance and policies of whatever organization they work for. In an effort to arm the faculty and students at the Air Force Institute of Technology with the knowledge and resources to accomplish their mission of providing superior defense focused education using cutting edge tools and techniques, the AFIT Gen AI working group has developed the AFIT AI Resource Hub. This resource hub contains various levels of policy/guidance, resources available related Gen AI, examples use cases for both classroom and research environments, along with other potentially useful information. This working group was led by Major Mark Bateman, who in this discussion will share insights into the fundamentals of Gen AI and Large Language Models, potential risks and concerns associated with their use, and some potential use cases of this technology. Co-sponsored by: Wright-Patt Multi-Intelligence Development Consortium (WPMDC), The DOD & DOE Communities Speaker(s): Mark Bateman Agenda: From the GAO Science & Tech Spotlight (https://www.gao.gov/products/gao-23-106782), “Generative artificial intelligence (AI) is a technology that can create content, including text, images, audio, or video, when prompted by a user. Generative AI systems create responses using algorithms that are trained often on open-source information, such as text and images from the internet. However, generative AI systems are not cognitive and lack human judgment.” Recently, the OMB, DoD, USAF, and USSF have all published various policies and guidance on use of these new technologies for different government and defense use cases. With how rapidly this technology has been proliferating through various aspects of society, educators and researchers need to be able to learn how to effectively use and teach the use of these new capabilities while still following guidance and policies of whatever organization they work for. In an effort to arm the faculty and students at the Air Force Institute of Technology with the knowledge and resources to accomplish their mission of providing superior defense focused education using cutting edge tools and techniques, the AFIT Gen AI working group has developed the AFIT AI Resource Hub. This resource hub contains various levels of policy/guidance, resources available related Gen AI, examples use cases for both classroom and research environments, along with other potentially useful information. This working group was led by Major Mark Bateman, who in this discussion will share insights into the fundamentals of Gen AI and Large Language Models, potential risks and concerns associated with their use, and some potential use cases of this technology. Virtual: https://events.vtools.ieee.org/m/418361