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We’re excited to continue the Orange County Computer Society (OCCS) Global Emerging Technologies (GET) Series—a monthly platform dedicated to spotlighting groundbreaking innovations in computer science and technology. Hosted by the IEEE Orange County Computer Society Chapter, this series brings together professionals, students, and tech enthusiasts to explore what’s next in emerging tech. Following an insightful June session focused on enterprise AI integration and large language model (LLM) development, we’re back this August after a brief summer break with another dynamic double-feature exploring AI at scale—from healthcare to production-ready ML systems. As AI adoption accelerates, so do the complexities of real-world deployment. This month’s talks tackle those complexities head-on, offering both strategic and technical perspectives on building reliable, scalable, and human-centered AI solutions. In this session: 🔹 The first talk bridges the gap between ML experimentation and production. Through a practical case study, it explores the full machine learning lifecycle—from training to CI/CD-enabled deployment—along with best practices in MLOps, model monitoring, and cross-functional collaboration. 🔹 The second talk delves into the deployment of agentic AI systems in healthcare, addressing challenges such as data heterogeneity, safety, regulation, and trust. You’ll learn about explanation-based and modular design principles, hybrid RAG-based deployment strategies, and real-world applications across triage, radiology, and dementia care. Key topics include: ✅ Designing safe, explainable agentic AI in healthcare ✅ Deployment frameworks using hybrid RAG models ✅ ML development lifecycle: from notebooks to production ✅ CI/CD pipelines, monitoring, and model versioning ✅ Scalable and collaborative MLOps strategies Whether you're building AI for regulated industries or scaling ML pipelines across teams, this session will provide the tools, frameworks, and real-world insights to drive your work forward. 📅 Join us on Tuesday, September 30 from 5:00 PM to 7:00 PM PT for an evening of learning, discussion, and community. 🎤 Interested in speaking at a future session? Reach out to [email protected] — we’re always looking for passionate voices shaping the future of technology. Let’s keep advancing innovation—together. Speaker(s): Vivek, Babul Agenda: Time (in PST) Activity 05:00pm - 05:15pm Check-in and networking 05:15pm - 05:30pm OCCS Chapter Introduction! 05:30pm - 06:00pm Speaker: Vivek Bharti 06:00pm - 06:30pm Speaker: Babul Sahu 06:30pm - 07:00pm Q/A Virtual: https://events.vtools.ieee.org/m/494867 |
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(https://engineering.stanford.edu/people/john-hennessy), past President of Stanford University (2000-2016) and Chairman of Alphabet Inc. will be in conversation with (https://muckrack.com/alan-weissberger/bio) of the (https://r6.ieee.org/sv-techhistory/) about the history of technologies and companies in Silicon Valley since the late 1970s. They will be joined on stage by IEEE past President (https://iwrc.ieeeusa.org/blog/portfolio-items/thomas-coughlin/) to discuss recent IEEE accomplishments, current focus areas and suggestions on how to strengthen the world’s largest technology non-profit organization. Our conversation will cover the evolution of RISC (Reduced Instruction Set Computing) and its applications in smart phones, tablets and other devices. We will discuss the evolution of GPUs, the computational demands of machine learning, and the emergence of domain-specific architectures (DSAs). We will also discuss the founding of Atheros Communications (acquired by Qualcomm in 2011) and its development of chip sets for WiFi, Bluetooth and other OFDM (Orthogonal Frequency-Division Multiplexing) technologies. That will lead us into a brief discussion of WiFi – one of the most successful IEEE standards (802.11) – and Bluetooth, along with the associated semiconductor and equipment companies that developed those ubiquitous technologies. Finally, we will turn to Google’s history, particularly its research activities. As a Google Board member for more than two decades, Prof. Hennessy has played a role in helping develop Google's strategic direction. With the current pervasiveness of AI, what does that hold for the future of science, technology and higher education? Co-sponsored by: IEEE Communications Society, SCV chapter (ComSoc SCV) , Santa Clara University IEEE Student Chapter Speaker(s): John, Alan, Tom Agenda: 5:00 - 5:25 pm Registration and Networking 5:25 - 5:30 pm Intro by Tom Coughlin about IEEE and its SV Tech History Committee 5:30 - 6:15 pm Conversation 6:15 - 6:55 pm Audience Q & A 6:55 - 7:00 pm Closing Remarks Bldg: Locatelli Student Activity Center, 500 El Camino Real, Santa Clara, California, United States, 95053, Virtual: https://events.vtools.ieee.org/m/496561
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#ieeeday 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/GGH84KjiSTiIr_W1K8MJVg Synopsis: In an era where data never sleeps, streaming algorithms offer a powerful toolkit for extracting meaningful insights from high-velocity data flows. This talk explores some foundational techniques that enable efficient, real-time analytics with minimal memory requirements. The algorithms covered include a clever bit-based strategy for approximating the count of 1s in a sliding window, ideal for binary streams where space efficiency is paramount. Another algorithm helps estimate statistical moments (mean, variance, skewness) using compact sketches, enabling a deeper understanding of stream distributions without storing the entire dataset. One other algorithm identifies trending items with exponential decay, giving more weight to recent data, a crucial method for dynamic environments like social media or sensor networks. Techniques like these form the backbone of intelligent stream processing. Through intuitive examples and practical applications, this session will demystify how these algorithms work, why they matter, and how they can be used to monitor, summarize, and react to data in motion. --------------------------------------------------------------- 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/497694 |
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IEEE Day Ambassadors in collaboration with Santa Clara Valley Young Professionals present, IEEE Day: AI Insights Summit Join us for a virtual summit on AI, its applications, and responsible use of AI. This is a virtual event, presented by IEEE Ambassadors in IEEE Region 6, from Santa Clara Valley, Sacramento, Oakland East Bay, and Seattle, in collaboration with Santa Clara Valley YP. #IEEEDAY #IEEEDAY2025 Speaker(s): Antony, Gopi, Surendra, Vijay, Abhishek, Vivek Agenda: 9:00 - 9:15 AM: Welcome Session 9:15 - 9:30 AM: Introduction to IEEE Membership and Benefits 9:30 - 10:45 AM: Step into AI Era (Technical Session) -> Dive into emerging AI technologies, applications, and industry impact. 10:45 AM - 12:00 PM: Ethics in AI (Non-Technical Session) -> Discuss responsible AI use, societal implications, and ethical frameworks. 12:00 PM - 1:00 PM: Intelligent Infrastructure (Technical Session) Virtual: https://events.vtools.ieee.org/m/501645 |
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Abstract Quantum Computing, having the ability to exponentially enhance the raw computing power, and Artificial Intelligence (AI), having the ability to impart unprecedented intelligence to connected devices through algorithms that learn, are the two key technologies of the 21st century. Although novel devices can significantly advance the field of quantum computing, conventional CMOS based analog and mixed signal circuits can enable quantum computing using classical op amp based circuits. AI algorithms on the other hand are tolerant to errors in computation, thereby enabling approximate and low-precision computing which has resulted in the resurrection of more than half-a-century old analog computing. This talk would present various analog computing techniques that could enable AI algorithms or more specifically machine learning (ML) algorithms. The talk could also delve into mixed-sginal computing where it will dive into the details of in-memory computing as well as adoption of novel memory devices, viz., memristors, to enable energy efficient computing. The talk would also present some classical analog hardware for emulating quantum algorithms, like Grover's search algorithm, for quantum computing systems. Speaker(s): , Bibhu Agenda: Date and Time Date: Monday, October 13 Time: 10:40 AM – 11:45 AM Location Place: E2-192, UC Santa Cruz Santa Cruz, California, USA Room: 192, Bldg: E2, University of California, Santa Cruz, Santa Cruz, California, United States, Virtual: https://events.vtools.ieee.org/m/506455 |
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This is a hybrid in-person and online event. Pre-registration is required for either. >> DIFFERENT LOCATION FOR IN-PERSON MEETING THIS MONTH! Medical image-based modeling and digital twins have emerged as powerful tools to support patient-specific cardiac surgical planning in adults and children. This presentation will discuss 3D modeling techniques that provide a complete pipeline from medical image segmentation to 3D anatomic models and blood flow simulations. The technology that makes this possible was recently extended to model the whole heart, including blood flow, tissue mechanics, electrophysiology, cardiac contraction, and heart valves. This presentation will also discuss recent applications of tools for clinical decision support. A first example is in adult cardiac surgery, where patient-specific modeling has been applied for vein graft failure prevention after coronary bypass graft surgery. Another example is in pediatric cardiac surgery where models have been used for clinical decision support in valve repair, flow re-direction, and bi-ventricular reconstruction. The program will conclude with a discussion of the open-source software and data resources that are available via the (https://simvascular.github.io/) and the (https://www.vascularmodel.com/). Speaker(s): Alison Marsden, 925 Thompson Place, Sunnyvale, California, United States, 94085, Virtual: https://events.vtools.ieee.org/m/497126 |
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Next Generation Two-photon 3D Printing Technologies [] Abstract: Utilizing a suite of additive manufacturing technologies for applications in responsive and architected materials, energy storage, carbon recycling, microfluidics, quantum computing, and inertial confinement fusion [] []Speaker: Dr. Xiaoxing Xia Staff Scientist Lawrence Livermore National Lab Xiaoxing Xia is a staff scientist at the Lawrence Livermore National Laboratory, California, USA. He leads projects in developing next generation two-photon 3D printing technologies to achieve higher throughput, finer resolution, and multi-materials printing capability. His team utilizes a suite of additive manufacturing technologies for applications in responsive and architected materials, energy storage, carbon recycling, microfluidics, quantum computing, and inertial confinement fusion. He received his PhD in Materials Science from California Institute of Technology and BA in Physics from University of Chicago. AGENDA: Thursday October 16, 2025 11:30 AM: Networking, Pizza & Drinks Noon -- 1 pm: Seminar Please register on Eventbrite before 9:30 AM on Thursday October 16, 2025 $4 IEEE members $6 non IEEE members (discounts for unemployed and students ) See examplesAdd Co-sponsored by: 636940-Santa Clara Valley Section Chapter,EMB18 Bldg: ==> Use corner entrance: Kifer Road / San Lucar Court ==> Do not enter at main entrance on Kifer Road, EAG Labs, 810 Kifer Road, Sunnyvale, California, California, United States, 95051
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High-volume, rapid fabrication of three-dimensional (3D) nano-architected materials and devices is key to deploying next-generation nanotechnologies to solve real-world challenges. Due to the field-of-view limitations of conventional optics, existing 3D nanofabrication techniques face fundamental challenges in throughput, proximity error, and stitching defects on the path to scaling. At LLNL, we have developed a scalable 3D nanofabrication platform that utilizes a metalens-generated focal spots array to massively parallelize two-photon lithography (TPL). Our current system uses over 100,000 high-contrast metalenses to enable the rapid parallel production of complex nanostructures with nanoscale resolution (up to 110 nm) over a 12-cm^2 write field. By programmatically patterning the focal spot array using a spatial light modulator, we further devise an adaptive parallel printing strategy for precise grayscale linewidth modulation and high-throughput production of semi-periodic and fully aperiodic 3D geometries. In this talk, I will share the details of this platform technology that received the R&D 100 Award in 2025. This work represents a paradigm shift for 3D nanolithography from lab-scale prototyping towards wafer-scale production, empowering TPL to be widely adopted at volume in microelectronics, quantum technology, biomedicine, and other fields. I look forward to engaging with the IEEE community to discover suitable use cases in the microelectronics industry, especially for advanced packaging. Speaker(s): Xiaoxing Xia Agenda: 11:30am: Networking & Pizza Noon-1PM: Seminar Bldg: EAG Laboratories, 810 Kifer Road, Sunnyvale, California, United States, 94086
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AI-Enhanced RF/Mixed-Signal Circuits for Reliable Operations IEEE SSCS Distinguished Lecturer Prof. Vanessa Chen Abstract: AI-driven design and optimization are revolutionizing RF and mixed-signal circuits for operation in extreme environments, including high radiation and wide temperature ranges. This talk explores the use of reinforcement learning (RL) and generative models to improve circuit robustness and adaptability. RL-based self-healing techniques leverage embedded electromagnetic sensors for real-time monitoring and dynamic fault recovery, while generative models accelerate design space exploration, enabling resilient and efficient circuit topologies. The presentation will highlight AI-enhanced designs such as adaptive power amplifiers, PMICs, and multispectral sensors that enhance performance and reliability in harsh environments. Speaker biography: Vanessa Chen earned her Ph.D. in electrical and computer engineering from Carnegie Mellon University in 2013. Before joining Carnegie Mellon University, she was affiliated with The Ohio State University. During her doctoral studies at Carnegie Mellon from 2010 to 2013, she conducted research on algorithm-assisted approaches for improving energy efficiency and ultra-high-speed ADCs with on-chip real-time calibration, and interned at IBM T. J. Watson Research Center in 2012. Prior to academia, she held positions as a circuit designer at Qualcomm in San Diego and Realtek, Hsinchu, Taiwan, focusing on self-healing RF/Mixed-signal circuits. Her research focuses on AI-enhanced circuits and systems, which include intelligent sensory interfaces, RF/mixed-signal hardware security, and ubiquitous sensing and computing systems. Dr. Chen has received the NSF CAREER Award in 2019. She has been involved in various technical program committees, including ISSCC, VLSI, CICC, A-SSCC, and DAC. She also has served as an Associate Editor for several IEEE journals, including TCAS-I, TBioCAS, and OJCAS. Additionally, she has contributed as a Guest Editor for TCAS-II and ACM JETC. She is currently an IEEE SSCS Distinguished Lecturer in 2025/2026. Please register to allow for proper planning. Agenda: 5:30pm: Networking 6:00pm: Talk 7:00pm: Event ends Room: 101/101A EE, Bldg: Packard , 350 JANE STANFORD WAY, STANFORD, California, United States |
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Join us for an essential dual perspective on the future of AI systems. As organizations race to deploy generative and agentic AI, two critical challenges emerge: 1️⃣ Scaling AI solutions from prototype to enterprise impact 2️⃣ Securing autonomous systems against emerging threats This event brings together leading industry experts to address both sides of this equation. 🎤 Talk 1 The Last Mile of Generative AI: Turning Ideas into Impact at Enterprise Scale Speaker: Mrinal Karvir, Engineering Leader 🎤 Talk 2 Securing Agentic AI: From Security Risks to Practical Defenses for Autonomous Systems Speaker: Dewank Pant, Engineer and Researcher Co-sponsored by: Vishnu S. Pendyala, San Jose State University Speaker(s): Dewank, Mrinal, Dr. Vishnu S Pendyala Room: MLK Room 225, Dr. Martin Luther King, Jr. Library (SJSU), 150 E San Fernando St San Jose, California 95112, San Jose, California, United States, Virtual: https://events.vtools.ieee.org/m/501651 |
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[]For over three decades, Sn-based material solder joints have remained the silent workhorses of electronic packaging. Since the transition from eutectic Sn-Pb to SAC305 alloy systems, these interconnects have sustained the fast-moving pace of system- and device-level integration with sufficient mechanical, thermal, and electrical reliability. While the semiconductor industry has undergone unprecedented transformation toward higher performance systems, the SAC305 alloy solder joints have quietly absorbed stress, ensured functionality, and maintained manufacturability across generations of products. However, the emergence of high-performance computing (HPC) and AI-driven network systems places unprecedented demands on these long-serving SAC305 interconnects. Are we asking too much from the long pasting current solder material and technology that has already given so much? This seminar revisits the fundamentals of solder joint evolution, exploring why it has been so effective for thirty years and the inherent limitations now emerging. The general thermo-mechanical and electrical performance degradation mechanism will be reviewed, and compared with the new material systems such as low melting temperature alloy systems. The lessons between these different degradation mechanisms and further demand and new boundary conditions will provide a view of what solder challenges in the AI era might look like. We will discuss whether the era of traditional solder joints is approaching its boundary of service, and what emerging roles solder might play. Looking forward, we will consider how interconnects must adapt or be reimagined to meet the challenges of the next generation of AI and High-Performance computing systems. Speaker(s): Tae-Kyu Lee, Virtual: https://events.vtools.ieee.org/m/501073
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Title: Brain Machine Interface: Challenges and Opportunities Date/Time: (PST)- 12:00pm to 1:00pm Thu, Oct 23 2025 Abstract: Brain Machine interfaces have the potential to revolutionize therapy for neurological diseases, because they target the nervous system with high spatiotemporal resolution as opposed to alternative therapies. Next-generation brain machine interfaces will benefit from an implantable neural recording IC with a dense, high channel count recording array that can be directly matched to a micro-electrode array (MEA) at the pitch of neurons (≈30 µm) to effectively capture spatiotemporal patterns of neural activity at single-cell resolution. These devices must support simultaneous recording from multiple thousands of neurons within the form factor and power budget of a fully implanted device. Hence, there is a requirement for an architectural paradigm shift to meet the design targets. In this talk, we will delve into specific challenges and approaches to achieve intended targets. Speaker Bio: Dante G. Muratore received a B.Sc. and an M.Sc. degree in Electrical Engineering from Politecnico of Turin, Italy in 2012 and 2013, respectively. He received a Ph.D. degree in Microelectronics from the University of Pavia, Italy in 2017 in the Integrated Microsystems Lab. From 2015 to 2016, he was a Visiting Scholar at Microsystems Technology labs at the Massachusetts Institute of Technology, USA. From 2016 to 2020, he was a Postdoctoral Fellow at Stanford University, USA. He is the recipient of the Wu Tsai Neurosciences Institute Interdisciplinary Scholar Award. Since 2020, he is an assistant professor in the Bioelectronics Section at Delft University of Technology, Netherlands, where he leads the Smart Brain Interfaces group. His research focuses on hardware design for brain-machine interfaces, bioelectronics and machine learning. https://microelectronics.tudelft.nl/People/bio.php?id=690 (https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m3d5beb80b9d84d4efbce27fdda8cc485) https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m3d5beb80b9d84d4efbce27fdda8cc485 Meeting number: 2535 991 4718 Meeting password: rQJZd3KZc32 Join from a video system or application Dial [email protected] You can also dial 173.243.2.68 and enter your meeting number. To dial from an IEEE Video Conference System: *1 2535 991 4718 Tap to join from a mobile device (attendees only) (tel:%2B1-415-655-0002,,*01*25359914718%23%23*01*) United States Toll (tel:1-855-282-6330,,*01*25359914718%23%23*01*) United States Toll Free Virtual: https://events.vtools.ieee.org/m/490922 |
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[] CYBERSECURITY AWARENESS MONTH Cybersecurity Starts with You: Protect, Prevent, Prevail Since 2004, the President of the United States and Congress have declared October to be Cybersecurity Awareness Month. Cyber-attacks on corporations, governmental agencies and individuals are becoming increasingly widespread and regular, as well as more complex. The Virtual Sixth Annual Los Angeles IEEE Coastal Los Angeles Computer Society Cybersecurity Summit-South Bay that brings together government officials, private business executives and cybersecurity experts to discuss the current and emerging threats that exist in today’s sophisticated cyber environment, and the technological advancements being made to countermeasure and manage these risks. (https://www.computer.org/) (https://www.csudh.edu/) https://www.waseda.jp/top/en/(https://www.nubroad.com/)(https://www.isi.edu/) https://www.ucla.edu(https://www.stmarytx.edu/) (https://www.scu.edu/) https://www.linkedin.com/company/immuniweb/ (https://aileap.tech/)https://www.linkedin.com/company/ieee-computer-society-in-san-antonio?lipi=urn%3Ali%3Apage%3Ad_flagship3_messaging_conversation_detail%3B9%2FFvMWdzSWKmSnQdGt1wfQ%3D%3D (https://www.linkedin.com/company/ieee-computer-society-scv-chapter/posts/?feedView=all) Resources for Cyber Security Awareness: Think Before You Click: Your Digital Life Depends on It (https://www.dhs.gov/topic/cybersecurity) (https://www.us-cert.gov/ncas/tips) (https://staysafeonline.org/) (https://www.dhs.gov/national-cyber-security-awareness-month) - (http://www.afcea.org/site/sites/default/files/files/AFC_WhitePaper2015_R3_SPREADS_lowres.pdf) Co-sponsored by: Dr. Mehrdad Sharbaf Agenda: Please Join us virtually for The Sixth Annual Los Angeles IEEE CLAS Computer Society Cybersecurity Summit-South Bay Secure Together: Building a Safer Digital World Welcome Keynote Message Time: 9:00 am Dr. Mehrdad S. Sharbaf, IEEE Coastal Los Angeles Computer Society- Chair, Founder & CEO, Sharbaf and Associates LLC/Adjunct Professor CSUDH (https://www.linkedin.com/in/mehrdad-s-sharbaf-30a23214/) Welcome Keynote Remark Message Distinguished Guest Speaker Professor Hironori Washizaki, Head of Department, Associate Dean, Waseda University, and IEEE Computer Society Elected President 2025, Time 9:15 am (https://www.linkedin.com/in/hironori-washizaki-aa085184/) Distinguished Guest Speaker Dr. Chris Mattmann, Chief Data and Artificial Intelligence Officer, UCLA, Time 9:30 am (https://www.linkedin.com/in/chrismattmann/) Distinguished Guest Speaker Dipti Srivastava, VP/Director Engineering, Nubroad LLC, Time 10:00 am (https://www.linkedin.com/in/diptishrivastav/) Distinguished Guest Speaker Terry Benzel, Managing Director, USC Information Sciences Institute, Former Director, Networking and Cybersecurity Division at USC Information Sciences Institute, IEEE Fellow, Time 10:30 am (https://www.linkedin.com/in/terry-benzel-74818/) Distinguished Guest Speaker Malek Ben Salem, Ph.D., Founder & CEO, AILeap, Time 11:00 am (https://www.linkedin.com/in/malek-ben-salem/) Distinguished Guest Speaker Dr. Cyril Onwubiko, Business Information Security Officer at Barclays | Board Member, IEEE Computer Society Time 11:30am (https://www.linkedin.com/in/cyrilonwubiko/) Distinguished Guest Speaker Dr. Ilia Kolochenko, CEO at ImmuniWeb, Attorney-at-Law, Adjunct Professor of Cyber Law & Cybersecurity, Time 12:00pm (https://www.linkedin.com/in/kolochenko/) Adjourn at 12:30pm Please Join IEEE Computer Society Build your technical skills, discover new opportunities, and connect to a global community of technologists. (https://www.computer.org/membership) Virtual: https://events.vtools.ieee.org/m/497356 |
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