Events

In the past few years, because of high-performance computing (HPC) driven by artificial intelligence (AI) and data centers in this AI era, packaging using glass-core substrates has been attracting lots of traction. For example, among others, Intel’s one-trillion-transistors application processor with glass-core substrate is to be shipped by the end of 2030 (announced September 2023) and TSMC’s chip-on-panel-on-substrate (CoPoS) with glass-core interposer is to be shipped in Q1 of 2029 (announced April 2025). In this lecture, a brief fundamental of through-glass via (TGV) and redistribution-layers (RDLs) of glass packaging will be presented. The advantages and disadvantages of glass, silicon, and organic will be discussed. Panel-level packaging vs. wafer-level packaging and the panel size will also be provided. Finally, the effects of coefficient of thermal expansion (CTE) of glass-core substrate on the solder joint reliability on printed circuit board (PCB) will be presented. Some recommendations will be provided. Speaker(s): John Lau, SEMI World Headquarters, 673 South Milpitas Blvd, Milpitas, California, United States, 95050

Join (https://www.linkedin.com/in/rajesh-dommaraju-159958100/) from (https://www.linkedin.com/company/spanidea/) as you explore how AIoT, edge AI, and embedded sensing can be combined to design smarter elderly monitoring systems for healthcare applications. We will share practical insights into building scalable, intelligent solutions using ST’s SensorTile box PRO and AIoT Craft Platform. Whether you are working on embedded systems, IoT, AI/ML, or healthcare innovation, this webinar will offer valuable perspectives and real-world application ideas. Key takeways: - Understand how Edge AI enables real-time elderly monitoring - See how AI can enable fall detection, temperature anomaly detection, and voice-based distress assistance - Understand the process of collecting sensor data, developing ML models, and deploying them on embedded devices - Gain engineering insights into building scalable intelligent systems for healthcare and safety applications Speaker(s): , Rajesh Dommaraju Virtual: https://events.vtools.ieee.org/m/576996

Artificial Intelligence is rapidly progressing from systems that generate responses to intelligent agents capable of reasoning, planning, using tools, maintaining context, and executing multi-step tasks. As organizations move toward agentic AI, the opportunity is no longer limited to helping employees find information—it is increasingly about enabling AI systems to participate in and automate real business processes. Following our August session on Connecting AI to Enterprise Data using Model Context Protocol (MCP), the IEEE Orange County Computer Society GET-AI Series continues in September with a practical, demo-driven exploration of AI Agents and Autonomous Operations. This double-feature session begins with the foundations of agentic AI—what makes an AI system an agent, how agents reason and plan, how they use tools, memory, and context, and how to build a simple agent capable of completing a multi-step task. The second session builds on those concepts to explore how autonomous and multi-agent systems can orchestrate complex enterprise workflows while maintaining security, governance, observability, human oversight, and operational reliability. By combining foundational concepts with architecture patterns and live demonstrations, the September session will help attendees understand how organizations can progress from AI assistance to intelligent, governed autonomous operations. --------------------------------------------------------------- [] Session 1: AI Agents 101: Build Your First Intelligent Agent 45 minutes Through practical explanations and a live demonstration, this session introduces the fundamentals of Agentic AI and explains how AI agents differ from traditional chatbots and standalone LLM applications. Attendees will explore the core building blocks of an AI agent, including reasoning, planning, memory, context, tools, and actions. The session will then demonstrate how these components work together by building a simple agent capable of interpreting a goal, selecting appropriate tools, executing multiple steps, and returning a meaningful result. Topics Include - What Is an AI Agent? From Assistants to Agentic AI - Core Agent Components: Reasoning, Planning, Memory & Actions - Tools, Function Calling & Context Management - Human-in-the-Loop Controls and Common Agent Design Patterns - Build and Demonstrate a Simple Multi-Step AI Agent 👉 Takeaway Understand how AI agents reason, plan, use tools, and take actions—and learn how to build a basic intelligent agent capable of executing a multi-step task. --------------------------------------------------------------- Session 2: Autonomous Enterprise AI: Orchestrating Agents, Tools & Business Workflows Building on the agent foundations introduced in Session 1, this session explores what it takes to move from a single AI agent to reliable, governed autonomous enterprise operations. Attendees will examine architecture patterns for orchestrating agents across applications, APIs, enterprise data, and business processes. The session will explore when to use a single agent versus multiple specialized agents, how agents collaborate and delegate tasks, and how organizations can maintain control through approvals, identity, policy, observability, evaluation, and operational guardrails. The session will also examine the production challenges that arise when agents begin taking actions—including incorrect tool selection, uncontrolled loops, unreliable outputs, excessive autonomy, and failure recovery—and practical strategies for addressing them. A live demonstration can showcase an end-to-end autonomous workflow in which an agent receives a business objective, gathers context, selects tools, performs multiple steps, requests approval when appropriate, and completes the workflow. Topics Include - From AI Agents to Autonomous Operations - Enterprise Agent Architecture: Single-Agent & Multi-Agent Systems - Agent Orchestration, Delegation & Enterprise Tool Integration - Governance, Human Oversight, Observability & Failure Recovery - Production-Ready Agentic Systems with Live End-to-End Demonstration 👉 Takeaway Learn how to design secure, observable, and governed agentic systems that coordinate tools, data, and business processes to enable reliable autonomous enterprise operations. --------------------------------------------------------------- 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): Brij, Karthik Agenda: September Session Agenda Following the same format as August: 4:30 PM – 5:00 PM — Registration, Check-In & Networking 5:00 PM – 5:15 PM — Welcome, Introductions & Opening Remarks Google Meet opens at 5:00 PM. Virtual attendees may join at this time. 5:15 PM – 6:00 PM — Session 1: AI Agents 101 — Build Your First Intelligent Agent 6:00 PM – 6:15 PM — Dinner & Networking 6:15 PM – 7:00 PM — Session 2: Autonomous Enterprise AI — Orchestrating Agents, Tools & Business Workflows 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/575018

Large language models (LLMs) and Generative AI (GenAI) are at the forefront of frontier AI research and technology. With their rapidly increasing popularity and availability, challenges and concerns about their misuse and safety risks are becoming more prominent than ever. In this talk, we introduce a unified computational framework for evaluating and improving a wide range of safety challenges in generative AI. Specifically, we will show new tools and insights to explore and mitigate the safety and robustness risks associated with state-of-the-art LLMs and GenAI models, including (i) safety risks in fine-tuning LLMs, (ii) LLM red-teaming and jailbreak mitigation, (iii) prompt engineering for safety debugging, and (iv) robust detection of AI-generated content. Speaker(s): Pin-Yu Chen, Agenda: - 5:30 PM – 6:00 PM: Networking (Free pizza & drinks) - 6:00 PM – 7:30 PM: Presentation, Q&A Room: Bergin Hall Room 116, Bldg: SCDI, 500 El Camino Real, Santa Clara, California, United States, 95053

Join us for the 2nd Annual IEEE Power & Energy (PES) Resiliency Summit on Achieving a More Reliable and Resilient Energy Future, taking place 6-8 October 2026 at the Hilton San Francisco Union Square in San Francisco, CA. Registration and full details are at: (https://ieee-pes.org/events/2026-ieee-power-energy-society-pes-resiliency-summit/) Hosted by PG&E, this year's summit convenes utility professionals, solution providers, and industry leaders to explore practical solutions for strengthening the reliability and resilience of our electric power grid. As we navigate an era of increasing energy demand and climate challenges, this event is your opportunity to engage with the latest strategies, technologies, and policy perspectives shaping the future of energy delivery. View videos from last year's event. (https://ieeetv.ieee.org/event/2025-ieee-power-energy-society-pes-summit) Why Attend? - Expert Insights: Hear from industry leaders on critical topics, including AI and data center impacts on the grid, wildfire mitigation, extreme weather response, and workforce development. - Practical Solutions: Gain actionable best practices that you can implement in your own systems to improve reliability performance and outage response. - Networking Opportunities: Connect with top decision-makers from leading organizations in energy, technology, and government. - Collaborative Future: Join a vibrant community of professionals dedicated to achieving a more reliable and resilient energy future. - 86% of the participants from the 2025 event indicated that they would attend this event in the future. Event Highlights: - Keynote Speakers: Hear insights from PG&E leadership and other top-tier industry executives. - Expert Panels: A single-track program covering the most urgent challenges facing our grid today. - Networking: Engage with peers during receptions, lunch breaks, and display tables. See the event website for latest schedule and speaker names and topics. Our Bay Area PES and IAS chapters are co-hosting this event to publicize it to our Bay Area members. Additionally, our SF/OEB PES, SF YP, and SF WIE are hosting a post-Summit Networking event with separate registration. Please check it out, register early for limited spots and join us! (https://events.vtools.ieee.org/m/572258) Co-sponsored by: Pacific Gas & Electric Agenda: See Registration links for Resiliency Summit & Post Summit Networking Agendas: (https://ieee-pes.org/events/2026-ieee-power-energy-society-pes-resiliency-summit/) (https://events.vtools.ieee.org/m/572258) San Francisco, California, United States

Join us to hear from Arun Anbumani, an IEEE Senior Member and Principal Engineer at Oracle Cloud Infrastructure! Arun specializes in large-scale cloud infrastructure, distributed systems, infrastructure provisioning, and platform reliability. We will spend time learning about Arun's real experience with hyperscalar infrastructure, and it's implication for the future, followed by Q&A and virtual networking. See you there! Speaker(s): Arun Agenda: 6:30 - 7:15 PM : Arun Introduction, General Presentation 7:15 - end : Q&A, virtual networking, etc. Virtual: https://events.vtools.ieee.org/m/579294

IEEE SCV WIE AI Summit 2026 [] In an era where AI technologies are rapidly transforming industries and redefining possibilities, it is crucial to explore both the innovations driving this change and the responsibilities that come with it. Today, we will delve into a diverse array of topics that highlight the multifaceted nature of AI and its profound impact on our lives. Our sessions will cover the latest developments in Large Language Models and Foundation Models, exploring efficient fine-tuning, multilingual adaptation, and the role of LLMs as knowledge bases. We will also examine the evolution of AI agents, focusing on autonomous task completion, multi-agent collaboration, and the integration of external knowledge for robust decision-making. In the realm of Vision and Multimodality, we will explore the integration of text, image, and video understanding, as well as advanced techniques like zero-shot learning and self-supervised learning. Our discussions on MLOps for LLMs will provide insights into best practices for training, deploying, and evaluating large models. We will also address the critical areas of Knowledge-Grounded Reasoning, On-Device Learning, and the ethical dimensions of AI, including bias mitigation, privacy preservation, and the detection of misinformation. Talk tracks are broadly classified but not limited to, 1. Large Language Models (LLMs) & Foundation Models 2. AI Agents 3. Sustainable Hardware for AI 4. Edge to Cloud Orchestration 5. Knowledge-Grounded & Reasoning 6. On-Device Learning for LLMs and Multi-Modal AI 7. Ethics, Bias & Fairness 8. Women Leading the AI Revolution Agenda: TBD Bldg: SC12, Intel, 3600 Juliette Ln, Santa Clara, CA 95054, US, Santa Clara, California, United States, 95054

Abstract: The Next-Gen Aerospace & Electromagnetics workshop brings together global experts to bridge the gap between pioneering aerospace achievements, cutting-edge planetary observation technologies, and modern engineering education. Designed for both industry professionals and students, this session explores the revolutionary mechanics behind the Mars Helicopter Ingenuity, innovations in large antenna technologies for tracking Earth's changing systems, and the shifting pedagogical paradigms required to prepare the next generation of electromagnetic engineers. Speaker(s): Nacer CHATAT, Richard E. HODGES, Prof. Levent SEVGİ Agenda: Lecture Program 18:30 – 19:00 | Lecture 2: “Exploring new frontiers: the Mars Helicopter Ingenuity's groundbreaking journey” Speaker: Dr. Nacer CHATAT (NASA - JPL, Caltech, USA) 19:00 – 19:30 | Lecture 4: “Large Antenna Technologies for Earth Science” Speaker: Dr. Richard E. HODGES (NASA - JPL, Pasadena, CA, USA) 19:30 – 20:00 | Lecture 3: “From Engineering Electromagnetics to Electromagnetic Engineering: Teaching, Training Next Generations” Speaker: Prof. Levent SEVGİ (Istanbul Technical University, Türkiye) Room: 4021, Bldg: Sobrato Campus for Discovery and Innovation, Santa Clara University, 500 El Camino Real, Santa Clara, California, United States, 95054, Virtual: https://events.vtools.ieee.org/m/578863

Our IEEE PES San Francisco / Oakland East Bay (SF/OEB) Chapter invites you to join our post IEEE PES Resiliency Summit Networking session (at the Hilton Union Square) and a delicious 5-course Moroccan dinner & show at Marrakech Restaurant right afterwards. (The restaurant will not be open to the public and registration will be required.) See https://ieee-pes.org/events/2026-ieee-power-energy-society-pes-resiliency-summit/ for more info and separate registration for the Summit. Our Networking, Dinner & Show will be co-hosted by our IEEE San Francisco Young Professionals (YP) & Women in Engineering (WiE) affinity groups. Additionally, this event is cosponsored by the IEEE PES Resiliency Summit, IEEE PES Region 6 YP, IEEE PES Women in Power (WiP) and IEEE San Francisco Section. All are welcome but registrations will be limited to seating capacity. Networking at Hilton Union Square 4-5pm Moderated Panel: PES Industry Leaders to share about their careers, challenges and excitement for the next generation of engineers. 5-6pm Speed Networking: PES Industry Leaders will move from tables of 6-8 attendees every 10 minutes. Move from Hilton Union Square a 1/2 block to Marrakech Restaurant 6:30-7:30pm Five Course Moroccan Dinner at Marrakech Restaurant with informal networking 7:30-10pm Georges Lammam Ensemble & Show with the premier Arabic band including violinist & singer Georges Lammam, keyboardist Khader Keileh, Susu Pampanin on tabla & Amina Goodyear on additional percussion. The show will also include two local SF bellydancers Jordone & Maya and open floor dancing! Important Note: You do not need to attend the Resiliency Summit to register and attend the Networking events 10/8 4-6pm at the Hilton and 6:30-10pm at Marrakech Restaurant. You can register and attend: 1) the Summit (separate IEEE PES registration at link above); 2) our 10/8 late afternoon/evening local networking event, or 3) both. We do require separate paid registrations through this vTools link for our networking event as our IEEE PES SF/OEB Chapter has booked the entire restaurant and entertainment. Our IEEE SF Section has kindly committed to supporting our networking event for 1/3 the costs, but we still need your support to cover our IEEE SF/OEB PES Chapter costs. Co-sponsored by: IEEE PES Resiliency Summit & Region 6 Young Professionals (YP) & Women in Power (WiP) San Francisco, California, United States

[]This talk will cover the status of fiber optic transceiver co-packaging efforts, both VCSEL- and SiPh-based, where they fit into the Ethernet switch market and the evolving Computer IO market, and how these technologies are advancing HPC (High Performance Computing), Data Center, and AI applications. The emphasis will be on new requirements and challenges driven by AI systems. Speaker(s): Dan Kuchta, Virtual: https://events.vtools.ieee.org/m/568144

Part of the 11th ACM/IEEE Symposium on Edge Computing (SEC 2026) Location: Santa Clara University | Date: Oct 13-15, 2026 Overview The future of the Edge is not just decentralized—it must be sustainable. As AI models grow in complexity, the environmental and energetic costs of deploying them on edge devices have become a critical bottleneck. The Minimalist Edge AI Challenge invites student teams to tackle the "AI Bloat" head-on. This one-day competition challenges you to take state-of-the-art "heavy" models and transform them into lean, green, high-performance machines capable of running on constrained, eco-friendly hardware. Can you maintain intelligence while slashing the carbon footprint? Join our Discord group for latest updates (https://discord.gg/V29ZXCTFR5). --------------------------------------------------------------- The Challenge Participating teams will be tasked with deploying a complex AI workload (e.g., real-time multi-object tracking or environmental anomaly detection) onto provided low-power hardware (Qualcomm Arduino UNO Q). Your mission is to optimize for the "Green Trifecta": - Model Accuracy: Maintain high predictive performance and reliability while operating under strict resource constraints. - Model Compression: Use pruning, quantization, and distillation to shrink the model footprint. - Resource Efficiency: Minimize peak RAM and CPU utilization to ensure smooth execution on minimalist hardware. - Energy Parsimony: Achieve the lowest possible Joules-per-inference to maximize battery life and sustainability. --------------------------------------------------------------- Why Participate? - Showcase Your Skills: Pitch your solution to a jury of world-leading edge computing experts from academia and industry. - Build Your Career & Network: Pitch your solution to a premier jury of world-leading edge computing experts and recruiters from academia and industry giants like Qualcomm. - Engineer for Planet Earth: Move past theoretical AI. Help define the actual benchmarks for "Green AI" and create real-world impact by building hyper-efficient, eco-friendly edge computing models. - Cash Prizes: The top three teams from each track will receive cash rewards: - 1st Place: $1,000 - 2nd Place: $750 - 3rd Place: $500 - Participant Perks: All competition participants will receive IEEE Computer Society swag and a free IEEE Computer Society Student Membership (Note: Requires an active IEEE Student Membership). --------------------------------------------------------------- Eligibility & Team Composition - Open to all undergraduate and graduate students registered at a recognized university. - Teams should consist of 2 to 4 members. - Recommended Skill Set: * Proficiency in Python (PyTorch/TensorFlow) and/or C++/Rust. - Experience with model optimization techniques (Pruning, Quantization). - Knowledge of Linux systems and resource profiling. - A passion for sustainable engineering. --------------------------------------------------------------- Important Dates ● Team Registration Deadline: Sept. 6th, 2026 ● Competition Day: Oct. 13-16 (Co-located with SEC 2026) Co-sponsored by: QualComm 500 El Camino Real, Santa Clara, California, United States, 95053

This is an online event. Pre-registration is required. Trusted adoption of an AI solution in an enterprise setting has many requirements. Large Language Models (LLMs) can often be constrained by the risks of hallucination bias and limited operational trust and reliability. Overcoming these challenges requires models whose output is fully grounded, auditable, and accurate. In addition, enterprise policy compliancy is critical in highly regulated sectors such as finance, healthcare, legal, insurance, government, and critical infrastructure. This presentation will discuss a solution framework with open-source models that can be systematically adapted using a combination of post-training optimization with advanced and agentic Retrieval-Augmented Generation (RAG) to create a production-ready enterprise LLM architecture. Advanced RAG is able to strengthen factual grounding through hybrid retrieval, metadata filtering, reranking, citation generation, and context optimization. Agentic RAG is able to extend this capability by enabling planner, retriever, verifier, and critic agents to decompose complex tasks, iteratively retrieve evidence, validate sufficiency, re-query when needed, and produce auditable answers suitable for enterprise production use. Speaker(s): Prasad Venkatachar, Virtual: https://events.vtools.ieee.org/m/577393