Events

[]POSTPONED -- register yourself, to hear about the new date! Microelectronics serve as the structural backbone for both global economic competitiveness and as our national defense strategy and forms the technical foundation for a wide array of applications. These include high-performance computing, artificial intelligence, autonomous systems, communications networks, and integrated sensing ecosystems. Next-generation microelectronic technologies are shifting away from traditional 2D silicon scaling by embracing 3D Heterogeneous Integration (3DHI), which vertically stacks and interconnects diverse materials. This leap enables unprecedented processing power, miniaturization, and energy efficiency crucial for advanced computing, sensing and communication systems. This talk will focus on this grand vision as well as recent advances in the next-generation microelectronics and manufacturing for sensing and communication systems. It will highlight challenges and opportunities for innovations to address traditional physical scaling limits. Speaker(s): Hasan Sharifi, Bldg: WALC 2127, Purdue University, West Lafayette, Indiana, United States, Virtual: https://events.vtools.ieee.org/m/564441

IEEE SCV-OEB SSIT Chapter Meeting From Hangar Deck to AI Lab: How the USS Hornet Built Its Own Private LLM Join us for a Member Technical Meeting on how the USS Hornet Sea, Air & Space Museum built a private large language model using Google’s NotebookLM and 165 curated content sources. Speakers Mark Rowell, CIO of the USS Hornet Sea, Air & Space Museum, and Chuck Myers, Docent and Board Member, will discuss the project’s design, content curation, testing, real-world use cases, and implications for museums, education, and historical preservation. The program will include live demos, a deep dive into Apollo 11 and 12 mission content, and fresh material being loaded in real time. IEEE members and guests are welcome at 6PM Tuesday night at the USS Hornet Museum in Alameda. Speaker(s): Mark Rowell, Chuck Myers Agenda: AGENDA • The full ideation and design story — why a private LLM, why NotebookLM, and what alternatives were considered • How 165 content sources were selected, loaded, and curated — and what that process actually looks like in practice • Testing and validation: how the team stress-tested the model and refined its responses • Real use cases: how docents, educators, and visitors are already using the system • Apollo 11 and Apollo 12 content deep dive — inside historical detail you won't find in a Google search • Live: new space program content being loaded into the model during the session • Open Q&A and discussion — bring your questions Bldg: Pier 3, USS Hornet Sea, Air & Space Museum, Alameda, California, United States, Virtual: https://events.vtools.ieee.org/m/555292

AI That Works for You: Tools, Prompts, Privacy — and How A Warship Taught Itself History Generative AI is everywhere — but using it effectively, safely, and without surrendering your data is a skill most people are still developing. This quarter's OEB LMAG lunch brings together and local Higher Ed leader and a CIO, two seasoned practitioners for a practical, hands-on session on getting real value from AI tools. Roger Doering, Professor of Engineering at Cal State East Bay, leads the main program on leveraging generative AI effectively and safely — covering tools, approaches, prompting strategies, and critical privacy and security considerations. He's joined by Mark Rowell, CIO of the USS Hornet Museum, who adds a fascinating real-world dimension: what happens when you build your own private LLM on a historic warship's institutional knowledge. Live demos included. Bring your questions — and your appetite. Generative AI tools have moved from novelty to necessity — but the gap between casual use and genuinely effective use is wide. For users with concerns about accuracy, privacy, security, and institutional knowledge, the public-cloud nature of most AI tools raises real questions. This session addresses both sides of that challenge. Roger Doering brings academic and professional rigor to the question of how to get the most from generative AI — what works, what doesn't, and how to stay safe while doing it. Mark Rowell then demonstrates what the far end of the privacy spectrum looks like in practice: a fully private LLM, built on Google's NotebookLM, trained on 165 sources of institutional knowledge about one of America's most historic naval vessels. Together, they cover the landscape from everyday AI productivity to purpose-built institutional intelligence — with plenty of time for hands-on exploration, demos, and the kind of frank conversation that only happens over a good lunch. WHAT YOU'LL COVER • Generative AI tools landscape — what's worth your time in 2026 and why • Prompting that actually works — practical approaches and live examples • AI privacy and security — what you're sharing, with whom, and how to protect yourself • Hands-on demos — try it yourself, not just watch it, so bring a laptop • The private LLM case study — how the USS Hornet built a closed, curated AI from 165 institutional sources • Real-world use cases from the Hornet's deployment — docents, educators, researchers, and visitors • Open discussion — bring your own AI questions, frustrations, and experiments Speaker(s): Roger, Mark, Agenda: Order & Serve Lunch: 11-12 Meeting Topic and discussion: 12-2 Bldg: Golf course restaurant, not pro shop, Beeb's Sports Bar and Grill, 915 Club House Drive, Livermore, California, United States, 94550

As artificial intelligence transitions from experimental deployments to mission-critical production infrastructure, organizations face a fundamental shift from model-centric optimization to system-centric engineering. While advances in model architectures and accelerator technologies have driven recent AI breakthroughs, long-term performance, reliability, and sustainability increasingly depend on the interaction between compute, memory, networking, software runtimes, operations, and governance. This talk presents an industry roadmap for building scalable AI systems that move beyond isolated model optimization toward adaptive, software-defined AI platforms. The roadmap explores five interconnected layers—compute, memory and data, interconnect, runtime and operating systems, and operations and governance—and demonstrates how these layers collectively influence throughput, latency, cost, energy efficiency, reliability, and compliance. The discussion introduces workload-aware architectures for inference, retrieval-augmented generation (RAG), agentic workflows, multimodal applications, and edge AI, highlighting the growing importance of memory hierarchies, topology-aware scheduling, adaptive control loops, and cluster-scale orchestration. A practical AI systems maturity model is proposed to help organizations assess current capabilities and prioritize investments, progressing from ad hoc experimentation to autonomous, policy-governed AI fabrics. The presentation concludes with a pragmatic execution framework and industry best practices for achieving predictable service levels, operational resilience, and sustainable AI economics. The central thesis is that future AI leadership will be determined not by model performance alone, but by the ability to design, operate, and govern AI as an integrated systems platform Co-sponsored by: Vishnu S. Pendyala, San Jose State University Speaker(s): Sujit Reddy Thumma Virtual: https://events.vtools.ieee.org/m/563401

[] Co-Sponsored by the Photonics Chapter As silicon photonics and co-packaged optics (CPO) technologies continue to scale for AI, cloud, and high-bandwidth networking applications, reliability qualification methodologies are becoming increasingly critical. While much of the industry focus has been on performance and integration density, standardized approaches for qualification, reliability assessment and long-term service life prediction remain an important industry challenge. This webinar will present the motivation, structure, and key technical considerations behind the emerging JEDEC work that Cisco has led on Silicon Photonics Qualification and Reliability Requirements. The session will discuss reliability expectations and qualification strategies for silicon photonics devices, chiplets, integrated optical assemblies, and heterogeneous integration approaches used in AI and datacenter applications. The webinar is intended for engineers and technologists working in silicon photonics, advanced packaging, NPO, CPO, datacenter infrastructure, reliability engineering, semiconductor manufacturing, and optical module development. Speaker(s): Farnood Rezaie, Virtual: https://events.vtools.ieee.org/m/560599

Paving the AI Superhighway: Where Power Meets Intelligence Description As artificial intelligence rapidly scales, the infrastructure supporting it faces unprecedented demands. Join us for the CASPA x IEEE 2026 Summer Symposium as we explore the critical power and energy breakthroughs underpinning the future of AI. This event brings together top pioneers from industry giants—including Supermicro, Intel, Google, Wolfspeed, and Analog Devices. Together, we will dissect how the rapid expansion of AI is reshaping the global power landscape, highlighting recent innovations, resolving complex architectural challenges, and uncovering future opportunities at the intersection of power and intelligence. Limited Seating available, so please register as soon as possible!! - Date: Saturday, July 18, 2026 - Time: 1:00 PM – 5:00 PM - Location: Intel SC-12 Auditorium | 3600 Juliette Ln, Santa Clara, CA 95054 Speaker(s): Don Tan, Yogesh Ramadass, Ray Pang, Gaoling Zou, Houle Gan, Kishan Joshi, Zhiping Yang, Ge (Gary) Wang, Jeff L Nilles Agenda: Time Duration Activity 1:00 PM – 1:20 PM 20 min Registration and Social Network 1:20 PM – 1:40 PM 20 min Welcome Remark and Introduction of CASPA & IEEE 1:40 PM – 2:10 PM 30 min Yogesh Ramdass, Fellow & VP of Power Systems Solutions at Wolfspeed 2:10 PM – 2:40 PM 30 min Don Tan, VP & Technical Activities Board Chair at IEEE 2:40 PM – 3:10 PM 30 min Gaolin Zou, Sr. Director of Marketing & Applications at Analog Devices 3:10 PM – 3:40 PM 30 min Ray Pang, SVP of Technology and Business Enablement at Supermicro 3:40 PM – 4:00 PM 20 min CASPA & IEEE membership introduction 4:00 PM – 5:00 PM 60 min Panel Discussion: Kishan Joshi, Houle Gan, Zhiping Yang, Gary Wang, Jeff Nilles Room: SC-12 Auditorium, Bldg: Intel , 3600 Juliette Lane, Santa Clara, California, United States, 95054

Join us for the IEEE Young Professionals (YP) Networking Mixer and continue the conversations from CASPA × IEEE 2026 Summer Symposium at an informal gathering of professionals. Following an afternoon of insightful technical discussions on AI, semiconductor power, and next-generation technologies, join fellow early-career engineers, researchers, entrepreneurs, and technology professionals for an evening of networking and community building. Whether you attended the symposium or are simply interested in connecting with the local IEEE Young Professionals community, you're welcome to join us. This mixer is a great opportunity to expand your professional network, exchange ideas, and learn about IEEE YP activities in a relaxed setting. Who Should Attend? - Engineers and professionals including, - Early-career engineers and researchers - Any YPs interested in becoming involved with IEEE Young Professionals Venue: Barebottle Brewing Company 2520 Augustine Drive, Suite 120, Santa Clara, CA 95054 Registration - Attendance is limited to 40 participants. - Registrants will receive one complimentary drink ticket (while supplies last). - Additional food and beverages may be purchased individually. We look forward to seeing you for an evening of great conversations, new connections, and community building! Bldg: Barebottle Brewing Company, 2520 Augustine Drive, Suite 120, Santa Clara, California, United States, 95054

Calling all volunteers to join our Summer STEM Youth Workshop where you'll get hands-on experience with build a car servos, learn the mechanics behind it and race an obstacle course/ track! We will be helping students who build ACEBOTT 5DOF Smart Robot Arm Car Kit, 4WD Remote Control Car: Amazon Link (https://www.amazon.com/dp/B0DHX9QW5N?ref=ppx_yo2ov_dt_b_fed_asin_title&th=1) Because we have limited space available, registration will be first come, first served. There will be a mandatory zoom training for all volunteers working with children. Sign up to volunteer today! Google Form Link (https://forms.gle/KSkkUYPK2QVNQrKS7) Event Details Where: Glad Tidings Family Life Complex When: 7/27, 2pm to 7:00pm. Who: For volunteering, college students and professionals are welcome to join! [] Why STEM Education Matters STEM education is more than just learning about technology or engineering—it’s about developing critical thinking, creativity, and problem-solving skills that are essential in today’s world. By exposing your child to STEM: - Help them discover new interests and talents. - Prepare them for high-paying and rewarding careers. - Show them that they can be creators, innovators, and leaders. Schedule: 2:15 - 2:30 PM | Welcome & Kickoff - Welcome - Event Overview - Review of safety rules - Introduction of volunteers, experiment leads, and technology demonstrators 2:30 PM | Presentation #1 Three classes (Build New Car/ attach Robot Arm, Troubleshoot Car/ Review/ Coding, and Art class) 2:45 PM- 5 PM | Build Car and Logo Art Design 5:00 PM– 5:40 PM | Dinner 6:00 PM– 6:45 PM | Finish Car Building, and Test obstacle course/ race track 6:45 – 7:00 PM | Closing, Photos & Thank You Our Program’s Commitment Through our partnership with the IEEE Oakland-East Bay Section, TryEngineering, and Glad Tidings, we are dedicated to fostering a supportive and inclusive environment. Here’s why this program is unique: Mentors Who Care: STEM professionals from your community will guide your child every step of the way. - Hands-On Learning: Engaging activities like designing bridges, building robots, and creating LED circuits make learning exciting. Equity in Education: Our goal is to provide access and opportunity to all children, particularly those in underrepresented communities. Parent Involvement We understand the vital role parents play in their child’s success. During the event, you’ll: - See firsthand how STEM activities boost confidence and teamwork. - Learn about free and affordable resources to continue your child’s STEM journey. - Meet other parents who share the same goal of empowering their children. Don’t Miss Out! This is a chance to show your child that their dreams matter and that they belong in STEM fields. Secure your spot today! Register by March 23th To ensure we have the proper supplies and resources, please RSVP by end of day March. 23, so we can better plan the workshop. Together, let’s inspire a generation of problem solvers, innovators, and dreamers. We look forward to seeing you there! Warm regards, Aaron Lin, IEEE Benita McLarin, Glad Tidings Co-sponsored by: Glad Tiding International 27709 Tyrrell Ave, Hayward, California, United States, 94544

Artificial Intelligence is rapidly transforming how organizations generate revenue, streamline operations, and automate complex business processes. From intelligent sales prospecting and personalized customer engagement to autonomous AI agents capable of reasoning, planning, and executing multi-step workflows, AI is becoming an essential driver of business efficiency and competitive advantage. Following our June session on AI-Powered Productivity, the IEEE Orange County Computer Society GET-AI Series continues with a practical, demo-driven July session focused on how organizations can leverage AI to improve efficiency, reduce operational costs, accelerate business processes, and build intelligent enterprise applications. This double-feature session combines business and technical perspectives to demonstrate how AI can optimize both customer-facing and enterprise workflows through intelligent automation, advanced prompting techniques, and production-ready AI agent architectures. --------------------------------------------------------------- 🔒 July Focus: Driving Business Efficiency with AI [] As organizations increasingly adopt AI across their operations, the challenge is no longer simply using AI it is applying it strategically to create measurable business value. This session explores how AI can help organizations: - Improve operational efficiency through intelligent automation - Reduce manual effort and operational costs - Increase sales pipeline quality using AI-driven insights - Automate repetitive business workflows - Build enterprise-grade autonomous AI agents to Save Cost Whether you're a business leader, consultant, architect, developer, product manager, or AI enthusiast, this session provides practical strategies and demonstrations that can be immediately applied within your organization. --------------------------------------------------------------- Session 1: Building Efficient Enterprise AI Systems with LangGraph (45 mins) Through live demonstrations, this session explores how LangGraph enables developers to build production-ready AI systems that are reliable, scalable, and designed to create efficient enterprise workflows. Attendees will learn how to move beyond simple LLM applications to intelligent agent architectures that streamline operations, optimize resource utilization, and reduce the cost of developing and operating AI-powered solutions. Topics include - LangGraph fundamentals - Designing efficient AI workflows - Enterprise AI agent architecture - Memory and state management - Tool orchestration and workflow automation - Human-in-the-loop approvals - Multi-agent collaboration - Enterprise automation and cost optimization patterns - Best practices for building scalable, production-ready AI systems 👉 Takeaway: Learn how to build efficient, enterprise-grade AI systems that automate complex workflows, optimize business operations, reduce development and operational costs, and deliver measurable business value through intelligent automation. --------------------------------------------------------------- Session 2: AI-Powered Sales Intelligence: Building Smarter Pipelines with Intelligent Prospecting (45 Min) This session demonstrates how AI can fundamentally transform go-to-market execution by identifying real-time business opportunities through trigger events, market signals, sentiment analysis, and intelligent prospecting. Through live demonstrations, attendees will learn how AI can generate highly personalized outreach, automate prospect research, and enable sales teams to focus on meaningful customer engagement instead of manual list building. Topics include: - AI-driven sales intelligence - Intelligent prospect discovery - Event-driven customer engagement - Effective prompting for business workflows - Hyper-personalized outreach - Reducing customer acquisition costs - Improving pipeline quality through AI 👉 Takeaway: Learn how AI can improve sales efficiency, reduce manual effort, and create higher-quality business opportunities through intelligent automation. --------------------------------------------------------------- About the Organizer Pradyumna Kodgi Principal Product Manager | Oracle Health & AI IEEE Senior Member | Vice Chair, IEEE EMBS – Orange County Member, IEEE AI Agentic Systems & AI Policy Committees 📍 California, USA 📧 pkodgi@ieee.org 🔗 linkedin.com/in/pkodgi Co-sponsored by: Pradyumna Kodgi Speaker(s): Gaurav Deshmukh, Sunil Hans Agenda: Agenda - 4:30 PM – 5:00 PM — Registration, Check-In & Networking - 5:00 PM – 5:15 PM — Welcome, Introductions & Opening Remarks - 5:15 PM – 6:00 PM — Session 1: Building Efficient Enterprise AI Systems with LangGraph: Intelligent Automation Beyond Chatbots - 6:00 PM – 6:15 PM — Dinner & Networking - 6:15 PM – 7:00 PM — Session 2: AI-Powered Sales Intelligence: Building Smarter Pipelines with Intelligent Prospecting --------------------------------------------------------------- 🛠️ Practical Takeaways You'll walk away with actionable techniques and frameworks that can immediately improve business efficiency, including: - Leveraging AI to improve sales pipeline quality - Applying effective prompting techniques for business automation - Reducing operational costs through AI-driven workflows - Building efficient enterprise AI systems with LangGraph - Designing scalable AI workflows using memory, tools, and intelligent orchestration - Combining human expertise with AI-driven automation to maximize business value --------------------------------------------------------------- 🎯 Who Should Attend - Business leaders and executives - Sales and marketing professionals - Product managers and consultants - Software engineers and developers - Enterprise and solution architects - AI practitioners and technology leaders - Students and professionals interested in enterprise AI --------------------------------------------------------------- ✨ What You'll Walk Away With - A practical understanding of how AI can improve business efficiency and reduce costs - Real-world examples of AI-powered sales intelligence and intelligent prospecting - Hands-on insights into building efficient enterprise AI workflows with LangGraph - Practical strategies for automating complex business processes using AI - Best practices for integrating AI responsibly into enterprise environments As AI becomes increasingly embedded within enterprise operations, success is no longer defined by simply adopting AI—it is measured by how effectively organizations use AI to build efficient systems, optimize workflows, reduce costs, and accelerate business outcomes. This session will equip you with practical knowledge and real-world techniques to harness AI as a strategic driver of business efficiency. Room: Emerald Cove Conference Room, Bldg: Beall Applied Innovation, 5270 California Ave, 2nd Floor , IRVINE, California, United States, 92617, Virtual: https://events.vtools.ieee.org/m/565627

In this talk, Dr. Jianquan Liu presents an industry perspective on the convergence of video analytics and generative AI. The talk begins with an overview of video analytics, covering advancements in action recognition, object tracking, human-object interactions, scene recognition, and behavioral pattern analysis. These technologies enable efficient extraction, retrieval, visualization, and summarization of video content. The presentation then explores the impact of generative AI, particularly large language models (LLMs), on video understanding. It discusses how LLMs enhance object recognition, semantic segmentation, action recognition, captioning, visual question answering, and storytelling. Dr. Liu provides industry case studies to illustrate these applications while also addressing limitations and challenges. The talk introduces NEC's narrative summarization framework, designed to tackle key challenges in video analytics. It concludes with a demonstration of "Video with LLM" technology, showcasing its practical application in automating traffic accident investigation reports. This presentation offers valuable insights into the current state and future potential of AI-driven video intelligence, bridging the gap between technical innovation and practical application for both industry professionals and general audiences. Co-sponsored by: Oakland-East Bay Section Chapter Speaker(s): Jianquan Liu , Agenda: - 5:30 PM – 6:00 PM: Networking - 6:00 PM – 7:30 PM: Presentation, Q&A Sobrato Campus for Discovery and Innovation (SCDI) Room 1302, 500 El Camino Real, Santa Clara, California, United States, 95053

The IEEE Oakland-East Bay Communications Society Chapter is pleased to host an IEEE Communications Society Distinguished Lecturer presentation by Dr. Wei Gao, Principal Engineer at Broadcom. Presentation Title Meta-Learning-Assisted Predistortion for Power Amplifier Linearization in Wireless Communication Systems Abstract Modern wireless communication systems require highly efficient RF power amplifiers while maintaining excellent signal linearity. This presentation introduces recent advances in AI-assisted digital predistortion techniques, focusing on meta-learning-based approaches that improve power amplifier linearization for IEEE 802.11 Wi-Fi systems. The talk discusses practical implementation challenges, optimization techniques, and industrial applications developed through years of experience at Broadcom. Speaker Dr. Wei Gao IEEE Communications Society Distinguished Lecturer (2025–2026) Principal Engineer, Broadcom Everyone is welcome, including IEEE members, students, researchers, and industry professionals. Speaker(s): Wei Gao Agenda: • Welcome and Chapter Update • Distinguished Lecturer Presentation • Live Questions and Discussion Virtual: https://events.vtools.ieee.org/m/565708

The IEEE Signal Processing Society Industry Board and Santa Clara Valley Chapter are pleased to announce an upcoming event on Video Coding Standards in the Age of AI which will be held on July 30, 2026 in Palo Alto, CA. As AI continues to evolve, it is playing an increasingly important role in next-generation signal processing and multimedia technologies. At the same time, major international and open-source standardization organizations are actively exploring how AI can be integrated into future standards. This event will bring together experts from industry and the standards community to discuss the latest advances in AI for video coding, current standardization efforts, and future research directions. Speakers This event features distinguished speakers from industry and standardization community: - Arianne Hinds (INCITS L3 Chair) - Debargha Mukherjee (Google, Principal Engineer / Director) - Alican Nalci (Meta, Research Scientist) - Leo Zhao (Tencent, Principal Research Scientist) Whether you are a researcher, engineer, student, or practitioner interested in AI and video compression, we warmly welcome you to join us for an evening of technical discussions and networking with leaders from academia and industry. Co-sponsored by: IEEE Signal Processing Society Industry Board Speaker(s): Arianne Hinds , Debargha Mukherjee , Alican Nalci, Leo Zhao Agenda: Agenda The evening event will feature invited talks and an interactive panel discussion on the intersection of AI and video coding, covering the latest research advances, standardization efforts, and future trends. - 6:00 PM – 6:30 PM: Networking - 6:30 PM – 8:30 PM: Invited Talks - 8:30 PM – 9:00 PM: Panel Discussion Room: Tai Meeting Room, Bldg: Tencent Office, Tencent Office, 2747 Park Blvd, Palo Alto, California, United States, 94306