Events

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 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 Speaker(s): Neeraja, Mayuri Kulkarni, Niruta Talwekar, Arpita, Negin Heidari Agenda: - 9:30 AM - 10: 00 AM: Registrations - 10:00 AM – 10:10 AM: Welcome Keynote by IEEE WiE + WIN (Shweta, Jerri, Shalini) - 10:10 AM – 10:30 AM: Keynote by Cindy Stottard (CIO, Intel) - 10:30 AM – 10:50 AM: Agentic AI: Agentic Netops – Mayuri Kulkarni (Palo Alto Networks) - 10:50 AM – 11:10 AM: Ethics, Bias & Fairness: Can You Trust a Panel of LLM Judges? – Niruta Talwekar (Meta) - 11:10 AM – 11:30 AM: Emerging Topics: Society for Social Implications of Technology 2026 – Maureen W Vavra (The StrataFusion Group) - 11:30 AM – 11:50 AM: LLM: Rewiring Developer Muscle Memory – Neeraja Amilineni (Workday) - 11:50 AM – 12:00 PM: Transition & Buffer - 12:00 PM – 1:00 PM: Lunch & Networking - 1:00 PM – 1:45 PM: Panel (Leadership): From AI Adoption to AI Leadership - Moderator: Shruthika Iyengar (Intel) - Panelists: Nalini Garg (Deloitte), Rajshree Chabukswar (Intel), Vyoma Gajjar (ServiceNow), Hazel Stobier (Qualcomm) - 1:45 PM – 2:00 PM: Transition - 2:00 PM – 2:30 PM: Lightning Talks: Voices Shaping the Future of AI (5 mins each) - From Silicon to AI – Shalini Lakshmana (Intel) - The Improbable: What Are "You" Optimizing For? – Özlem Coday (Intel) - Beyond the Model: BioPharma's Next Breakthrough – Beenish Zia (Intel) - Workplace Productivity & Agentic AI – Margaret Laffan (Intel) - The Future of Customer Support – Swati Chopra (Intel) - When AI Leaves the Chat – Basak Caprak (Intel) - 2:30 PM – 2:35 PM: Transition - 2:35 PM – 2:55 PM: LLM: Beyond the Next Token: Evolution to World Action Models – Negin Heidari (SF Motors) - 2:55 PM – 3:15 PM: Knowledge Grounded AI: How Faithful Is LLM Reasoning? – Arpita Vasant Shah (Microsoft) - 3:15 PM – 3:25 PM: Closing Remarks Intel SC9, 2250 Mission College Blvd, Santa Clara, California, United States, 95054

Join four EMC Young Professionals Ambassadors from industry and academia for an evening of talks, a live panel discussion, and audience Q&A — covering career paths in EMC, measurement science, consumer-device reliability, and grounding fundamentals. Open to students, young professionals, and anyone curious about how EMC shapes the technology we use every day. Speaker(s): Madhavi Dhara, Simone Negri, Niamat Hussain, Gaurav Mahajan Agenda: AGENDA 17:00 – 17:10: Welcome & Introduction – Dr.-Ing. Mathias Magdowski (Chair for Electromagnetic Compatibility, Otto von Guericke University Magdeburg, Germany) 17:10 – 17:25: Madhavi Dhara (Robert Bosch GmbH, Germany) – Designing a High-Impact Career in EMC 17:25 – 17:40: Simone Negri (Politecnico di Milano, Italy) – Non-Intrusive Characterization Methods for Multiport Electrical Devices 17:40 – 17:55: Niamat Hussain (University of Glasgow, UK) – From Drop-Damage to Radiation Risk: Rethinking Smartphone Case Engineering 17:55 – 18:10: Gaurav Mahajan (Apple Inc., USA) – Grounds for Grounding 18:10 – 18:40: Panel Discussion 18:40 – 18:55: Audience Q&A / Chat Box Questions 18:55 – 19:00: Closing Remarks Virtual: https://events.vtools.ieee.org/m/575899

Join Stanford IEEE and the IEEE MTT-S chapter for a hands-on industry talk with Teledyne LeCroy: a lecture from their engineers, followed by 4-5 live oscilloscope and test-equipment demo stations you can rotate through. Wednesday, October 7, 5-7 PM in Packard 204. Pizza provided. Open to all Stanford students, freshmen through PhD. Details and RSVP: https://luma.com/2b6u2wgk Room: 204, Bldg: Packard Electrical Engineering Building, 350 Jane Stanford Way, Stanford, California, United States, 94305

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

Drawn from launch-readiness work in medical device product development, this talk covers how to hold scope when capable teams push to expand it, how to surface trade-offs so groups reach decisions themselves, and how to escalate without damaging the relationships you depend on. Speaker(s): Isha Sharma, Room: 108, Bldg: Alameda Hall, Santa Clara University, Santa Clara, California, United States, Virtual: https://events.vtools.ieee.org/m/581151

[]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

Session 3: (https://ieee-climatechain-hack.devpost.com/) Join us for Session 3 of the Learning & Training Series for the IEEE Global ClimateChain Hackathon 2026, a global initiative bringing together students, researchers, developers, industry professionals, and innovators to explore how Artificial Intelligence, Blockchain, and emerging technologies can support climate action and sustainability. This session will focus on Ethics, Responsibility & Good Practices for Climate Innovation, exploring how ethical principles and responsible innovation can guide the development of technology-driven solutions for climate challenges. Participants will examine important considerations including responsible AI, data privacy and governance, transparency, accountability, bias, inclusivity, security, environmental impact, sustainability, and trust when applying AI, blockchain, and other emerging technologies. The session will also translate these principles into practical good practices for designing climate solutions, helping participants consider sustainability, scalability, measurable impact, stakeholder needs, and long-term value. Participants will gain practical perspectives to help them develop ClimateChain Hackathon projects that are ethical, responsible, trustworthy, sustainable, and capable of delivering meaningful climate impact. [] Co-sponsored by: Pradyumna Kodgi Speaker(s): Reventh Agenda: Agenda – Session 3: Ethics, Responsibility & Good Practices for Climate Innovation 20:00 – 20:10 | Introduction & Responsible Climate Innovation Context Overview of why ethics, responsibility, and good practices matter when designing technology-driven climate solutions. 20:10 – 20:30 | Ethics & Responsible Innovation for Climate Technology Responsible AI, transparency, accountability, data privacy and governance, bias, inclusivity, and ethical considerations when applying AI, blockchain, and emerging technologies to climate challenges. 20:30 – 20:50 | Good Practices for Designing Climate Solutions Practical guidance on sustainability, scalability, measurable impact, security, stakeholder needs, long-term value, and building trustworthy climate solutions. 20:50 – 21:00 | Q&A, Discussion & Closing Virtual: https://events.vtools.ieee.org/m/574108

Stanford IEEE is hosting a live on-campus taping of "A Bit Personal," the Global Semiconductor Alliance's podcast. GSA CEO Jodi Shelton sits down with John Hennessy, Stanford President Emeritus and Chairman of Alphabet, to talk about his career in computer architecture, leading Stanford, and the future of the semiconductor industry. Tuesday, October 13, 12-1 PM. Free and open to Stanford students, staff, and faculty. Details and RSVP: https://luma.com/x4vhq2eq Co-sponsored by: Global Semiconductor Alliance (GSA) Room: 101X, Bldg: Paul G. Allen Building, 420 Via Palou, Stanford, California, United States, 94305

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