[]At the end of 2023 the semiconductor market had increased from $532 Billion in 2023 to $611 B mid-year 2024. This growth is viewed positively in the light of the recent Covid pandemic and ongoing supply chain disruptions. Since disruptions (all kinds) in the semiconductor supply chain are not going away, the semiconductor companies must ensure that their entire supply chain (SC) "eco system” is complete, efficient and resilient. Many SC experts use a pyramid to highlight the critical segments of the chip manufacturing fabrication process. Through the use of a SC pyramid, process experts highlight the essential needs and requirements, beginning to end, of the chip fabrication process eco system. The resulting pyramid notes the intersection of the many entities involved, upstream and downstream suppliers, associated manufacturing equipment companies, and all vendors and distributors for each segment. The eco system includes chip design, chip design verification, wafer manufacturing, key essential raw materials, packaging, and assembly and test regardless of the entity type (foundry, OSAT facility, or IDM). The final chip is then designed into a sub-assembly, device, or a system that can be sold to consumers and government agencies. A discussion of the equipment tools key to the chip fabrication process will also be presented. This will include design verification and test tools, deposition equipment, and lithography equipment. Summary: The semiconductor supply chain ecosystem; Pyramid illustration of 6 segments describing the chip fabrication process; Associated main player companies for each of the segments; Semiconductor fabrication equipment suppliers and their market share. Speaker(s): Kitty Pearsall, Virtual: https://events.vtools.ieee.org/m/442072

Article I, Section 8, Clause 8, of the U.S. Constitution gives Congress the power to grant patents to inventors. From there, it all becomes murky. What benefits can an individual inventor extract from a patent? How important is it for a company to build a patent portfolio? What should you do with the portfolio once you have it? Can you afford to enforce your patents? When should you be scared of other people suing you over patents? After 40+ years in the patent game as an inventor, an expert witness, and a corporate executive responsible for patent strategy, I will give you a big picture view of the economics of the patent industry and discuss some of the opportunities and pitfalls. Speaker(s): Andrew Wolfe, Room: 225, Bldg: Heafey, Santa Clara University, Santa Clara, California, United States, Virtual: https://events.vtools.ieee.org/m/445568

Edit: due to full venue buyout we will relocate nextdoor to Mountain Mike's (updated 2024/12/02) Join us for an in-person networking event for meet-and-greet with members of the IEEE SSCS SCV Section Food will be provided. Register to allow for proper planning. Parking structure located at 2585 Augustine Dr. 3-hour free parking Table reservation for IEEE Note: Event is scheduled for 6:30pm local time PST 2510 Augustine Dr, Santa Clara, California, United States, 95054

Synthetic Aperture Radar (SAR) offers significant advantages to customers within the commercial market due to its broad spectrum of applications and all-weather imaging ability, yet it faces hurdles that have slowed its adoption. Higher costs and smaller footprints of very high-resolution SAR may restrict its usage. Additionally, competition from optical systems, which are often seen as more straightforward and easier to interpret than a greyscale SAR image, can challenge SAR’s market positioning. This talk will examine some of SAR’s most effective applications and approaches to introducing very high-resolution SAR to a wider commercial market. Speaker(s): Hayley Pippin Virtual: https://events.vtools.ieee.org/m/440965

--------------------------------------------------------------- Speaker(s): Ken, Bldg: Santa Clara University, 820 Alviso St., Santa Clara, California, United States, 95050

--------------------------------------------------------------- Speaker(s): Ken, Agenda: 6:30 - 7:00 PM - Check in, networking, food and drink 7:00 - 8:30 PM - Presentation by Ken Sugiyama 8:30 - 9:00 PM - Q&A, Social networking Bldg: Sobrato Campus for Discovery and Innovation Building 1302, Santa Clara University, 500 El Camino Real, Santa Clara, California, United States, 95053

2024 marks the 20-year anniversary of Consumer Technology Society Silicon Valley Chapter and I would like to invite you to join us for a celebration event. For this purpose, we would like to invite you to a lunch event on December 8th at the Plug-n-Play Center, located at 440 N Wolfe Rd, Sunnyvale, CA 94085. After lunch, we are honored to have Larry Dworkin, Marketing Director of ASML Metrology and Inspection Group, give us a presentation on SEM Scanning Electron Microscope. This is an in-person event and I look forward to seeing you on Dec 8. This event is cohost with YP and LM local chapter. Co-sponsored by: CH06074 - Santa Clara Valley Section Chapter, SP01 Speaker(s): Larry Dworkin ***CANCELED*** Agenda: 11:30AM open + networking 11:50AM lunch delivery 12 - 12:45PM lunch + clean up 1 - 2PM presentation + Q&A 2 - 2:30PM pass and current officer speech, recognition and 2025 outlook 2:30 - 3PM network and close down Bldg: Plug-N-Play Center, 440 N Wolfe Road, Sunnyvale, California, United States, 94085

The combined Santa Clara Valley, San Francisco, & Oakland/East Bay IEEE PELS is very pleased to invite you to our upcoming online webinar. We are excited and honored to have Prof. Qianwen Xu of the KTH Royal Institute of Technology, Sweden to speak on the topic of AI and Digitalization as Enablers of the Clean Energy Transition. Here's more about the talk from the Speaker: As we transition towards a climate-neutral society, future energy systems will increasingly feature high shares of renewable energy sources and power electronic converters. However, these advancements introduce significant challenges in maintaining power balance and system stability. This talk will explore how AI helps to address these challenges. Specifically, the talk focuses on transfer learning based modeling for converter interfaced assets, digital twin development of power systems, and safe deep reinforcement learning for grid optimization with numerous converter interfaced renewable energy sources. This talk targets those interested in tech-driven environmental sustainability, offering insights into how digital advances support the clean energy transition. Virtual: https://events.vtools.ieee.org/m/443097

This is a hybrid in-person and online event. Pre-registration is required for either. Ransomware is wreaking havoc on our society, and costing billions of dollars. This presentation will describe a novel approach for fighting against a problem that is growing ever worse as the demand for reliable data storage grows. The technique captures statistics about incoming data, and feeds this data into an AI-trained model in real time. A key aspect of its success is that it operates as part of the firmware that manages the flash memory-based storage system itself. This talk will describe how this approach to this sticky problem has been successfully deployed in large production systems. Included will be a discussion of how the results coming back are also able to improve the model over time, how this allows for detecting corruption very early, and so is able to significantly reduce the time to recover. Speaker(s): Andrew Walls, 673 South Milpitas Blvd., Milpitas, California, United States, 95035, Virtual: https://events.vtools.ieee.org/m/441677

We're excited to invite you to a special networking event where we'll discuss a new Mentor/Mentee Program designed to connect experienced IEEE Life Members with promising young professionals. Free parking is available for Google Huddle visitors Shoreline Amphitheatre Parking Lot C ((https://www.google.com/maps/place/Parking+Lot+C,+Mountain+View,+CA+94043/@37.4249572,-122.0800888,17.68z/data=!4m14!1m7!3m6!1s0x808fb9f776f5e165:0x1ddf014a1b553f3d!2sShoreline+Amphitheatre!8m2!3d37.4268342!4d-122.0807023!16zL20vMDdtajBi!3m5!1s0x808fb9f9b9720177:0xa8d31f85d9a830df!8m2!3d37.4247456!4d-122.0794931!16s%2Fg%2F11c149jv5f?entry=ttu)) Alta Garage ((https://www.google.com/maps/place/Alta+Garage/@37.4181335,-122.0839622,415m/data=!3m1!1e3!4m14!1m7!3m6!1s0x808fba02425dad8f:0x6c296c66619367e0!2sGoogleplex!8m2!3d37.4220604!4d-122.0852343!16zL20vMDNiYnkx!3m5!1s0x808fba01d0abcd61:0x2ad7d7b48bc8b14c!8m2!3d37.4182751!4d-122.0841189!16s%2Fg%2F11vhxxbg5t?entry=ttu)) Public Transportation The VTA Route 40 bus operates daily, and stops at Charleston and Huff streets near the Google Visitor Experience ((https://www.vta.org/go/routes/40)). You can take Caltrain ((https://www.caltrain.com/?active_tab=route_explorer_tab)) to the Mountain View Transit Center and then take VTA Route 40 https://www.vta.org/go/routes/40 Agenda: 10:00 AM - 12:00 PM - Free Movie Screening: “The Intern” starring Robert De Niro and Anne Hathaway 12:00 PM - 1:30 PM - Networking and Lunch: Discussion and Brain Storm on the Mentor/Mentee Program Room: Huddle, Bldg: Google Visitor Experience , 2000 N Shoreline Blvd, Mountain View, California, United States, 94043

[]Mark Goldstein, President of International Research Center will present an insightful and in-depth session on the future of the satellite industry, focusing on the key developments shaping the telecommunications, broadband, and Earth Observation (EO) segments. His presentation will explore the revolution in launch capabilities and capacities as well as cutting-edge technologies such as Low Earth Orbit (LEO) constellations, the rise of 5G satellite Direct to Device (D2D) integration, and innovations in remote sensing and analysis. We'll examine the impact of these trends on global connectivity, high-speed internet access, intelligence and environmental monitoring, and cybersecurity while also examining the challenges and opportunities facing industry stakeholders. Gain a strategic understanding of how these advancements are revolutionizing the satellite landscape, driving growth in critical sectors, and finding innovative new applications and use cases. Speaker(s): Mark Goldstein , Virtual: https://events.vtools.ieee.org/m/448655

[]As AI and machine learning continue to advance rapidly, the demand for GPU and data center connectivity is escalating. Silicon photonics is emerging as a transformative solution for optical interconnects, offering cost-effective, high-volume optical interconnect solution. Current electrical and optical interconnect struggle to meet the power demand and connectivity driven by the needs of AI and cloud computing. At the LSIP group within Hewlett Packard Labs, we are focused on delivering low-power optical links capable of reaching beyond 1.6Tb/s transmission with 200+ Gb/s per lane. In this presentation, I will discuss our efforts in developing high speed silicon photonics optical interconnects, including utilizing high speed Si(Ge) avalanche photodiodes to realize energy efficient optical links. Speaker(s): Zhihong Huang, Virtual: https://events.vtools.ieee.org/m/435507

Recent progress in three-dimensional (3D) integration offers a unique opportunity to integrate low-dimensional semiconductors in a vertically stacked system for 3D integrated circuits. In this talk, we will discuss modeling, simulation, and design of two-dimensional (2D) semiconductors and semiconductor quantum dots to enable neuromorphic and quantum computing functionalities in an integrated system. A multiscale simulation approach is employed to model the stochastic switching characteristics of 2D-semiconductor-based devices for Boltzmann machines, facilitating efficient solutions to optimization problems. Furthermore, technology computer-aided design (TCAD) offers valuable insights into operation principles, quantum noise limitations, and quantum gate performance for semiconductor spin-based quantum computing applications." Bio: Jing Guo is currently a professor in the Department of Electrical and Computer Engineering at the University of Florida, Gainesville, FL, USA. His research work mainly focuses on modeling, simulation, and design of nanoscale electronic devices. His group has extensively explored device physics, assessed performance potentials, and developed new device concepts for nanoscale transistors based on carbon nanotubes, graphene, 2D materials and topological insulators, and memory cells based on ferroelectric materials. His group has developed efficient simulation methods for quantum-transport-based device simulations, and physics-based models for nanoscale transistors. He has also developed and contributed to some widely used simulation tools deployed on the nanoHUB, such as CNTbands. He served in the technical program committee of the International Device Research Meeting (IEDM) and Device Research Conference (DRC). He also serves as an associate editor of Nano-Micro Letters. He coauthored a book “Nanoscale Transistors: Device Physics, Modeling, and Simulation.” Published by Springer. Virtual: https://events.vtools.ieee.org/m/448712

In the dynamic world of technology, cloud architecture has emerged as a pivotal field, driving innovation and digital transformation across industries. This presentation explores the roadmap for professional advancement in cloud architecture, focusing on the essential skills, strategies, and opportunities that aspiring professionals must harness to succeed. From mastering foundational concepts to embracing cutting-edge technologies like Kubernetes, AI-driven cloud solutions, and multi-cloud strategies, attendees will gain actionable insights into skill-building and career growth. Additionally, we will delve into industry certifications, the value of mentorship, and leveraging networking platforms to stay ahead in this competitive domain. Whether you are beginning your journey or looking to elevate your career, this session equips you with the tools and knowledge to achieve excellence in cloud architecture. Co-sponsored by: Media Partner: Open Research Institute (ORI) Speaker(s): Ayisha Tabbassum Agenda: - Invited talk from Ayisha Tabbassum, Cloud Architect. - Q/A Session Virtual: https://events.vtools.ieee.org/m/450439

Fog learning is an emerging paradigm for optimizing the orchestration of artificial intelligence services over contemporary network systems. Different from existing distributed techniques such as federated learning, fog learning emphasizes intrinsically in its design the unique node, network, and data properties encountered in today’s fog networks that span computing elements from the edge to the cloud. An important thread of research in fog learning has been on understanding the role that local topologies formed on an ad-hoc basis among proximal groups of heterogeneous computing elements can play in elevating the achievable tradeoff between intelligence quality and resource efficiency. In this talk, I will discuss recent results on the analysis of fog learning processes which give insights into the impact that these topologies, along with other properties such as model characteristics and fog decision parameters, have on global training performance. Additionally, I will discuss the development of adaptive control methodologies that leverage such relationships for jointly optimizing relevant fog learning metrics. Speaker(s): Dr. Christopher G. Brinton ***CANCELED*** Room: 1302, Bldg: SCDI, 500 El Camino Real, Santa Clara University, Santa Clara, California, United States, 95053

Abstract We describe our experience developing what we believe to be the world’s first large-scale production deployments of lightwave fabrics used for both datacenter networking and machine-learning applications. Optical circuit switches and optical transceivers developed in-house have produced a lightwave fabric that is reconfigurable, low latency, rate agnostic, and highly available. These fabrics have provided substantial benefits for long-lived traffic patterns in tightly-coupled machine learning clusters. We also report results for a large-scale ML superpod with 4096 tensor processing unit chips that has more than one exaflop of computing power. Speaker(s): Dr. Kevin Yasumura, Agenda: 6:30 – 7:00 PM Registration & Networking 7:00 – 7:45 PM Invited Talk 7:45 – 8:00 PM Questions & Answers Northeastern University Welcome Center Space, 75 E Santa Clara Street, San Jose, California, United States, 95113, Virtual: https://events.vtools.ieee.org/m/450615

This event will feature two insightful talks that together provide both a broad overview of the rapidly evolving public blockchain landscape and a hands-on roadmap for developers building the platforms of tomorrow. The first talk, Emerging Trends in the Public Blockchain Ecosystem will examine the latest developments shaping open networks such as stablecoins, NFTs, DAOs, Decentralized Physical Infrastructure (DePIN), Real-World Assets (RWAs), and AI-driven interactions. Attendees will gain an understanding of the broader economic and technological forces guiding public blockchain innovation. Following this, Blockchain Developer Roadmap – 2025 will shift the focus to practical career growth and skill-building for developers. This talk will outline key technologies, programming languages, interoperability solutions, and best practices in security and compliance, offering a clear path to successfully navigating the complex environment of next-generation blockchain development. Together, these sessions provide a comprehensive perspective on where the public blockchain ecosystem is headed and how developers can best prepare to build meaningful, secure, and innovative applications that will drive the industry forward. Co-sponsored by: FreeCodingSchool.org Speaker(s): Dr Ramesh Ramadoss, Revanth R Airre Agenda: 9:00 – 09:05 AM: Welcome Address & Introduction 9:05 – 9:35 AM: Talk 1 – "Emerging Trends in the Public Blockchain Ecosystem" By Ramesh 9:35 – 9:40 AM: Audience Q&A Session with Ramesh 9:40 – 10:10 AM: Talk 2 – Blockchain Developer Roadmap – 2025 by Revanth 10:10 – 10:15 AM: Audience Q&A Session with Revanth 10:15 AM – 10:30 AM: Closing Remarks & Future Events Preview 10:30 PM: Event Concludes Virtual: https://events.vtools.ieee.org/m/453000

[] Free Registration (with a Zoom account; you can get one for free if you don't already have it): https://sjsu.zoom.us/meeting/register/tZcsc-CoqjwpG9aPDHfg6Axqvn90i4uQRmqr Synopsis: For a long time, the AI/ML community relied on traditional evaluation metrics such as the confusion matrix, accuracy, precision, and recall for assessing the performance of machine learning models. However, the rapidly evolving field has been raising several ethical concerns, which calls for a more comprehensive evaluation scheme. In easy-to-understand language, this talk will delve into the quantitative analysis of model performance, emphasizing the critical importance of explainability. As ML models become increasingly complex and pervasive, understanding their decision-making processes is paramount. We'll explore various performance metrics, their limitations, and the growing need for transparency. Topics covered include Cohen’s Kappa Statistic, Matthew's correlation coefficient (MCC), Confusion Matrix, Precision, Recall, G-measure, ROC Curve, Youden's J statistic, Type II Adversarial attack, R-squared, LIME, SHAP, and more. Speaker(s): Dr. Vishnu S. Pendyala Virtual: https://events.vtools.ieee.org/m/442073