using https://events.vtools.ieee.org/meetings/xml/0/60/asc/6/OREGON
43422 bytes
3 meetings
- Title:
- Thriving in an AI & Emerging Tech World: Opportunities and Challenges for Women Engineers
- Date:
- June 23rd
6:00 PM (1.5 hours) - Abstract:
In celebration of IEEE Women in Engineering (WIE) Day, the IEEE WIE Affinity Groups from Oregon, Hawaii, Utah, Spokane, Santa Clara Valley, San Diego, Richland, Phoenix, and Foothill of IEEE Region 6 and IEEE WIE AG SB DU of IEEE R10 proudly invite you to an empowering and timely panel discussion: “Thriving in an AI & Emerging Tech World: Opportunities and Challenges for Women Engineers”
Join us for an inspiring conversation exploring how AI, automation, and digital transformation are reshaping the engineering landscape and redefining the future of work. This dynamic event will bring together globally recognized engineers, researchers, and industry leaders who will share:- The evolving role of engineers in an AI-driven world
- Opportunities and challenges uniquely faced by women in emerging technologies
- Strategies for upskilling, career advancement, and impactful leadership in a fast-paced tech environment
- Title:
- OCCS GET Series: Bridging AI Integration & Exploring the Inner Workings of LLMs
- Date:
- June 24th
5:00 PM (2 hours) - Abstract:
We are excited to continue the Orange County Computer Society (OCCS) Global Emerging Technologies (GET) Series—a monthly platform dedicated to spotlighting transformative innovations in computer science and technology. Hosted by the IEEE Orange County Computer Society Chapter, this series unites professionals, students, and tech enthusiasts to explore the cutting edge of what’s possible.
Following a highly engaging May session filled with thought-provoking conversations on Gen AI in healthcare and insurance, we’re thrilled to bring you a powerful double-feature this June that explores both the strategic and technical sides of artificial intelligence.
This month, we shift focus to the evolving AI ecosystem, with two compelling talks. As AI adoption accelerates across industries, organizations face significant challenges with integration, scalability, and security. At the same time, large language models (LLMs) are transforming how we build, deploy, and interact with intelligent systems.
In this session:
πΉ The first talk dives into enterprise-level strategies to overcome AI integration hurdles, addressing legacy systems, data silos, and fragmented infrastructure to enable scalable, secure solutions.
πΉ The second talk takes you behind the scenes of LLMs—unpacking how they’re trained, optimized, and deployed—with real-world use cases that reveal how these models are powering next-generation applications.Key topics include:
β Scalable and secure AI architectures
β Bridging strategy and execution in AI adoption
β Training pipelines, fine-tuning, and inference of LLMs
β Bias mitigation, privacy, and responsible AI practices
β Cross-domain LLM applications in real-world scenariosWhether you're building AI strategies at the enterprise level or curious about the inner workings of LLMs, this session delivers valuable insights, practical takeaways, and a deeper understanding of AI’s rapidly growing impact.
π Don’t miss this opportunity to dive into the evolving world of enterprise AI and model development—where practical integration meets technical innovation.
π€ Interested in speaking at a future session? Reach out to swapnali.karvekar@ieee.org—we’re always looking for passionate voices to lead the conversation.
Join us as we learn, connect, and shape the future of emerging technologies—together.
- Title:
- IEEE Oregon and SW Washington EMC/PSES Joint Chapter June Meeting
- Date:
- June 25th
5:30 PM (2.0 hours) - Location:
- Washington County Chamber of Commerce
Hillsboro - Abstract:
IEEE Oregon and SW Washington EMC/PSES Joint Chapter June MeetingIEEE Oregon and SW Washington EMC/PSES Joint Chapter June Meeting
Technical presentation by Will Susiene of Intel titled “USB, Breaking the 100W Barrier”
3 meetings. Generated Monday, June 23 2025, at 11:11:12 PM. All times America/Los_Angeles