🌞 Final Countdown to Our Youth STEM Summer Camp – Aug 6–7! 🚀 Calling all volunteers —we’re just days away from our exciting 2-day Youth STEM Summer Camp! This hands-on, immersive experience is packed with science, tech, and creativity—perfect for inspiring young minds. 📍 Location: Glad Tiding Family Life Complex, 27709 Tyrrell Avenue, Hayward, CA 94544 📅 Dates: August 6 & 7, 2025 🕘 Time: 9:00 AM – 3:00 PM (Day 1), 9:00 AM – 2:30 PM (Day 2) Our campers will explore topics like Biology, AI/Machine Learning, Physics, Sustainability, Photography, and Aerospace, plus fun activities like STEM Basketball, Lego Play, and a Science Fair! 👩‍🏫 Volunteers: Please complete the google form https://forms.gle/cxyq1UGWZ1zH95rYA. ✅ Volunteer Training: All volunteers must attend training before the camp, we will finalize the date and time for training soon. Let’s work together to make this STEM Summer Camp an unforgettable experience. See you there! #STEMCamp #IEEESTEM #YouthInSTEM #VolunteersNeeded #STEMEducation #AI #Biology #Aerospace #SummerCamp2025 Co-sponsored by: Benita McLarin 27709 Tyrrell Avenue, Hayward, California, United States, 94544

Generative Adversarial Networks (GANs) implement Machine Learning (ML) algorithms that can address competitive resource allocation problems, together with detection and mitigation of anomalous behavior. In this talk, the speaker will discuss their use in next-generation (NextG) communications within the context of cognitive networks to address i) spectrum sharing, ii) detecting anomalies, and iii) mitigating security attacks. GANs have the following advantages. First, they can learn and synthesize field data, which can be costly, time-consuming, and non-repeatable. Second, they enable pre-training classifiers by using semisupervised data. Third, they facilitate increased resolution. Fourth, they enable recovering corrupted bits in the spectrum. The talk will provide basics of GANs, a comparative discussion on different kinds of GANs, performance measures for GANs in computer vision and image processing as well as wireless applications, a number of datasets for wireless applications, performance measures for general classifiers, a survey of the literature on GANs for i)–iii) above, some simulation results, and future research directions. In the spectrum sharing problem, connections to cognitive wireless networks are established. Simulation results show that a particular GAN implementation is better than a convolutional autoencoder for an outlier detection problem in spectrum sensing. Co-sponsored by: Vishnu S. Pendyala, SJSU Speaker(s): Dr. Vishnu S. Pendyala, Prof. Ender Ayanoglu Virtual: https://events.vtools.ieee.org/m/493301

Free Registration (with a Zoom account; you can get one for free if you don't already have it. This requirement is to avoid Zoom bombing. Please sign in using the email address tied to your Zoom account — not necessarily the one you used to register for the event.): https://sjsu.zoom.us/webinar/register/WN_DIDfdbkgRFeEd3JbzURIUQ Synopsis: How are machine learning algorithms able to answer questions from any nook and corner of the World Wide Web? How are trending hashtags from the near infinite microblog posts, unique visitors and other distinct counts in the near infinite website traffic determined? How do blogging websites avoid recommending articles a user has previously read? In general, how can we answer complex queries about enormous data streams without storing them entirely, in real-time? The answer often lies in clever approximation algorithms and data "sketches" that capture essential properties using vastly reduced space. The relentless flow of data in modern systems indeed presents significant challenges. These data streams are often too large to store and too fast to process exhaustively with traditional methods. This talk introduces key sketching and approximation techniques that help generate real-time data insights by processing data streams. --------------------------------------------------------------- By registering for this event, you agree that IEEE and the organizers are not liable to you for any loss, damage, injury, or any incidental, indirect, special, consequential, or economic loss or damage (including loss of opportunity, exemplary or punitive damages). The event will be recorded and will be made available for public viewing. Speaker(s): Dr. Vishnu S. Pendyala Virtual: https://events.vtools.ieee.org/m/482936

IEEE SF/OEB Power & Energy Society (PES) is excited to announce our upcoming PG&E Diablo Canyon Power Plant Site Visit on Thursday August 21, 2025, from 8am to 2pm, with 7:30am arrival! We have a limited number of spots and expect it to fill up fast. Please register on vTools ASAP but only if you believe you can make it. You will need to travel to Avila Beach on August 20th to be there the night before. Site Tour will include a risk management presentation and site visits to turbine deck, control room simulator, Independent Spent Fuel Storage Installation, and marina. Once you have registered, SF PES Chair Wendy Al-Mukdad will send you the PG&E event registration with a lot more information about preparing for your visit, pre-tour safety video, visitor rules & information. PG&E must pre-approve all registered attendees no later than 2 weeks before the event. IEEE SF/OEB PES attendees tentatively are planning to meet for dinner on Wednesday August 20th in Avila Beach. More info to follow. Please contact Wendy at walmukdad@ieee.org with any questions. Avila Beach, California, United States

IEEE SCV WIE AI Summit 2025 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. Vision & Multimodality 4. MLOps for LLMs 5. Knowledge-Grounded & Reasoning 6. On-Device Learning for LLMs and Multi-Modal AI 7. Ethics, Bias & Fairness Speaker(s): Jagruti Mahante & Shreya Anand, Jesmin Jahan Tithi, Harika Rama Tulasi Karatapu, Pallishree Panigrahi, Rong Wang and Sushma Venkatesh Reddy, Disha Ahuja, Shubhi Asthana Agenda: 3:15-4:00 Registration 4:00-4:10 IEEE SCV WIE Welcome Message 4:15-4:45 Multi-Agentic Synthetic Data Generation for Realistic, Multi-Turn Conversations - By Disha Ahuja, Cisco 4.50-5.20 The LLM Imperative: Secure Your AI Frontier Before It Fractures Your Enterprise - By Jagruti Mahante & Shreya Anand, Workday 5:25-5:55 Designing Data Centers for Next-Gen Language Models - By Jesmin Jahan Tithi, Intel 5:55-6:30 Networking and Refreshments 6:30-6:50 ReAct Prompt Design: Enhancing LLM Reasoning & Tool Use - By Shubhi Asthana, IBM 6:55-7:15 AI Powered SaaS on GCP - By Harika Rama Tulasi Karatapu, Google 7:20-7:40 Designing for Trust: Responsible AI from Data to Deployment - By Pallishree Panigrahi, Amazon 7:45-8:05 The First Enablement of GPU On-Device LLMs on Intel Chromebook Platforms - By Rong Wang and Sushma Venkatesh Reddy, 8:05-8:10 Final Wrap-up Bldg: SC12, Intel, 2200 Mission College Blvd, Santa Clara, California, United States, 95054

As the LTO tape roadmap advances toward significantly higher capacities, the industry is undergoing a paradigm shift in how those gains are achieved. Traditionally, increased capacity came from expanding tape length and increasing linear bit and track densities together, enabled by larger recorded bits on thicker media. However, beginning with LTO-8, the focus has shifted to higher track densities and thinner, longer tape substrates—a transformation that brings both opportunity and complexity. This transition introduces a new set of engineering and operational challenges. With thinner media and smaller recorded bit dimensions, the number of wraps and head passes per full volume increases significantly. As a result, tape systems are becoming more sensitive to environmental conditions, including temperature, humidity, and airborne debris. These changes mainly due to smaller bit dimensions place added pressure on Tape Dimensional Stability (TDS) control mechanisms and contribute to elevated Tape Alerts and Drive Errors, especially in real-world usage scenarios. Innovations in LTO-10, such as the tilted head and servo format architecture (the Pisa head) and new cleaning mechanisms, represent a major leap in addressing these challenges. This new format allows precise compensation for tape dimensional changes, improving tape-to-head alignment. However, such innovations are just one part of the broader strategy needed to ensure reliable tape performance at scale. In parallel, modern data architectures are redefining tape’s role. Tapes are no longer just archival media stored offsite for disaster recovery. In today’s tiered storage ecosystems, data on tape must be randomly accessible, highly durable, and maintain multi-9s reliability over lifespans exceeding ten years. This shift requires that tapes perform reliably not just at write time, but throughout their lifecycle as active data assets. To meet these demands, the industry must adopt: - Advanced host-level tape and drive management algorithms - Researching and implementing ML based algorithms for Real world tape Alerts and errors and estimating data durability and availability - Integration of erasure coding, redundancy models with new RAIL based Library architectures This presentation will focus into the magnetic data tape technological innovations, real-world tape alerts and errors, and architectural changes shaping the next generation of tape storage. Emphasis will be placed on understanding the interplay between environmental variables and system performance, and how innovation at system and Library level is essential to ensuring long-term reliability in this new era of high-capacity tape systems. Speaker(s): Turguy, Agenda: 6:30 - 7:00 Socializing and Networking at Quadrant 6:55 Zoom session will be online with Waiting Room 7:00 - 7:45 Lecture begins, online and in person 7:45 - 8:00 Questions and Answers 1120 Ringwood Ct, San Jose, California, United States, 95131, Virtual: https://events.vtools.ieee.org/m/491103

Free Registration (with a Zoom account; you can get one for free if you don't already have it. This requirement is to avoid Zoom bombing. Please sign in using the email address tied to your Zoom account — not necessarily the one you used to register for the event.): https://sjsu.zoom.us/meeting/register/i6n2sgjLQFelwXCNz4-YGQ Synopsis: As large language models (LLMs) evolve from static, prompt-based tools into autonomous, agentic systems capable of reasoning, planning, and acting with minimal human oversight, organizations face an exciting yet complex frontier. These advanced systems hold the potential to revolutionize enterprise workflows, developer tools, and customer-facing applications—but realizing that potential requires navigating a host of technical and ethical challenges. This panel brings together leading voices from AI research, infrastructure engineering, and real-world application domains to discuss how agentic LLM systems are moving from lab experiments to production-grade deployments. Panelists will explore critical topics such as orchestration, safety, observability, and evaluation, while offering hard-earned lessons from deploying these systems at scale. Whether you're building tools for developers, integrating LLM agents into enterprise pipelines, or shaping the next wave of intelligent products, this discussion will equip you with the strategic and technical know-how to bring agentic AI into impactful, everyday use. Don’t miss this opportunity to learn what it truly takes to operationalize the future of AI. --------------------------------------------------------------- By registering for this event, you agree that IEEE and the organizers are not liable to you for any loss, damage, injury, or any incidental, indirect, special, consequential, or economic loss or damage (including loss of opportunity, exemplary or punitive damages). The event will be recorded and will be made available for public viewing. Speaker(s): Yubin Kim, Gautam Solaimalai, Shaleen Kumar Gupta, Vishal Jain, Rahul Raja, Harsh Varshney Virtual: https://events.vtools.ieee.org/m/494702

[]Printed electronics has emerged as a versatile technique for on-demand fabrication of passives, interconnects, and active devices. Our group has recently extended this technique to create freeform devices in Three-Dimensional space that have opened exciting application areas for this technology. The manufacturing process for printed electronics, however, can suffer from process drifts and does not have an active feedback loop to fix errors. In this research, we develop a digital twin for aerosol jet 3D printing, a jetting-based method to create printed electronics to address this concern. This work, done in collaboration with an ECE faculty at CMU, matches observations with outcomes expected from a physics-based process model, and continuously updates the hidden variables to minimize this error via probabilistic estimation techniques. We then use the aerosol jet 3D printing to demonstrate devices with extraordinary performances that cannot be achieved by any other method. Specifically, we show 3D electrodes by this technique that enable detection of pathogens and breast cancer biomarkers in 10-12 seconds at femtomolar levels (fastest detection yet reported). We also show fully customizable brain-computer interfaces (BCIs) that record electrical signals between neurons at densities of thousands of electrodes/cm2, which is 5-10× the current state-of-the-art technologies. We also demonstrated the printing of high-capacity Li-ion batteries and thin flexible robotic skins with embedded sensors. Speaker(s): Rahul Panat, Virtual: https://events.vtools.ieee.org/m/481231

The idea that your car can do more than get you from point A to point B is still a novel concept. The fact that EV charge management can strengthen grid resilience through as well as fortify the economic and societal benefits are undeniable. Charging as well as discharging EVs, also known as vehicle-to-grid (V2G) unlocks a range of benefits for drivers, utilities, as well as the broader community. This presentation will discuss: - Strategy for V2G - Trends in the bidirectional EV charging space - Integrations and interfaces with programs and providing grid support - Regulatory and market considerations Speaker(s): Frances Bell, Agenda: No-host social at 5:30pm Presentation at 6:00pm Dinner at 7:00pm Presentation continues at 7:45pm Adjourn by 8:30pm Zio Fraedo’s, 611 Gregory Lane, Pleasant Hill, California, United States, 94523

Electric energy systems are undergoing profound changes as they become increasingly interdependent with other infrastructures. The changes originate from within (new key components, such as inverters and storage), from the expanding system boundaries (transportation), and strengthened connections with other societal infrastructures, communications, water, and gas. The advent of new technologies related to renewable sources and electronic loads has increased the number and variability of transients. Recent events, such as the 2025 blackout in Spain and Portugal, underscore the need for a deeper understanding of hybrid systems that combine traditional (electromechanical) with new sources and loads (electronic). These processes have implications for education, which needs to combine depth in the discipline with a broad understanding of rapidly evolving fields, like AI and power semiconductors. The electric energy program at Santa Clara has initiated a reexamination of its undergraduate and graduate offerings with the aim of being responsive to industry needs while preparing students for the rapidly evolving profession. This workshop offers an opportunity to network with SCU friends and affiliates, as well as to collaborate on outlining future directions in research and teaching related to electric energy systems. · · Co-sponsored by: Santa Clara University Agenda: 8:00 Breakfast/Registration 9:00 Welcome and Opening remarks: Kendra Sharp (SCU Dean School of Engineering) 9:15 Keynote Damir Novosel (Founder, President Quanta) 10:15 Break 10:30 Rethinking Modeling, Computing and Control for Changing Electricity Service, Maria Ilic (Professor, MIT) 12:00 Lunch 1:00 Seeing Before Believing – Sensing and Power Quality Monitoring in Emerging Power Systems, Prof. Alex Stankovic (Professor, SCU) 2:00 Break 2:30 Inverter Interfaces for the Future Grid, Leo Casey (Chief Scientist, Google) 3:30 Power and Energy program at SCU Prof. Maryam Khanbaghi (Associate Professor, SCU) 4:00 Break 4:15 Panel: Workforce Development for the Future - Page Crahan - General Manager, Tapestry at X, the Moonshot Factory - Prasad PMSVVSV - VP and Head of Systems Engineering, Bloom Energy - Robert Entriken - Technical Executive, Electric Power Research Institute 5:00 Networking hour Room: SCDI 1302/1308, Bldg: Sobrato Campus for Discovery and Innovation (SCDI), 500 El Camino Real, Santa Clara, California, United States, 95053

Abstract : This presentation explores the evolution of automated transportation within public transit systems, focusing on ADASTEC’s real-world deployments and technology. ADASTEC develops SAE Level-4 automated driving software for full-size buses and has established operations across Europe and North America. Attendees will gain insights into deployment use cases, market drivers, safety compliance, and regulatory standards. The session will also address key engineering topics including sensor configurations, modular vs end-to-end AI models, and testing methodologies under real-world conditions. A live Q&A will follow to discuss public transit automation challenges and solutions. Best regards Speaker(s): Dr. Ali Ufuk Peker, NASHUA, New Hampshire, United States, 03062, Virtual: https://events.vtools.ieee.org/m/467311