Continuing Education credit registration fee of $7 to obtain the certificate. Virtual: https://events.vtools.ieee.org/m/493913

This virtual meeting can accommodate up to 100 attendees. While military systems in general have to operate in tough electromagnetic environments, missile programs require special attention and considerations from an EMI/EMC perspective. From environments to requirements to best practices, this presentation will discuss key focuses of EMI/EMC engineering in relation to missile programs and systems and how best to achieve success. (https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=mbb61f437f2f2fef1c8778ed46bd30bd7) https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=mbb61f437f2f2fef1c8778ed46bd30bd7 Meeting number: 2530 212 5565 Meeting password: HBnRPPXg282 Join from a video system or application Dial [email protected] You can also dial 173.243.2.68 and enter your meeting number. To dial from an IEEE Video Conference System: *1 2530 212 5565 Tap to join from a mobile device (attendees only) (tel:%2B1-415-655-0002,,*01*25302125565%23%23*01*) United States Toll (tel:1-855-282-6330,,*01*25302125565%23%23*01*) United States Toll Free Speaker(s): Flynn Lawrence, Flynn Lawrence Virtual: https://events.vtools.ieee.org/m/508800

Review and select officers for 2026 Virtual: https://events.vtools.ieee.org/m/514279

Hey Everyone, Come join us for our monthly virtual coffee hour. Bring your favorite brew and enjoy the stimulating conversation and company. We have had wide-ranging conversation covering AI, science fiction, comics, risks, and more. Share with us what interests you. https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=mf4c37374a5a74c2d1aef4254e159a027 Ahmed Naumaan - TC Section Chair Agenda: - Stimulating conversation We have had wide-ranging conversation covering AI, science fiction, comics, risks, and more. Share with us what interests you. Virtual: https://events.vtools.ieee.org/m/513472

As artificial intelligence (AI) continues to scale in power and influence, modern models increasingly mirror the complexities of human cognition. Yet, a widening gap exists between the principles of biological memory and the constraints of contemporary computing systems. This talk, How Memory Powers Intelligence: From Cognition to AI Computing Systems, explores this intersection through the lens of memory. We present research that reimagines intelligent systems not just as data processors, but as experience-driven learners. Key questions include: How can systems retain and learn from past interactions? How can we prioritize what information is worth encoding? What strategies enable efficient consolidation of long-term knowledge? And how can we accelerate memory retrieval to support real-time reasoning? By drawing parallels between cognitive science and AI architecture, we highlight novel memory-centric approaches to unlocking more intelligent, scalable, and adaptive computing systems. Speaker(s): Hai (Helen) Li , Virtual: https://events.vtools.ieee.org/m/507222