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DTSTART;TZID=America/Los_Angeles:20250519T160000
DTEND;TZID=America/Los_Angeles:20250521T150000
DTSTAMP:20250411T020351Z
CREATED:20250411T020351Z
LAST-MODIFIED:20250411T020351Z
UID:68371-1747670400-1747839600@svec.org
SUMMARY:IEEE Power and Energy Summit: Achieving a More Reliable and Resilient Energy Future
DESCRIPTION:The inaugural IEEE Power & Energy (PES) Summit on Achieving a More Reliable and Resilient Energy Future will focus on practical experiences by the power and energy industry to achieve a more reliable and resilient electric power grid. The summit will focus on efforts to drive for reliability performance through outage reduction and quicker response. The summit will also include system level thinking to mitigate against high impact low probability or resilience events. Since the summit will be hosted in the west coast a specific topic of reliability and wildfire mitigation will also be covered. The event will include one track technical track (super session format) and not include breakout sessions. The presenters invited are practitioners who will discuss their organizations’ approaches to a more reliable and resilient grid.\nCo-sponsored by: Pacific Gas & Electric\nAgenda:\nMonday April 19 4:00-7:00 Registration 5:00-7:00 Welcome Reception\nTuesday April 20 7:00 am to 6:00 pm Registration 8:30 am to 4:30 pm Conference\n8:30AM – 9:30AM Welcome & Agenda Overview\, Keynote Speaker\n9:30AM – 10:30AM Topic 1: Key Success Factors for Reliable Energy Delivery\n11:00AM – 12:00PM Topic 2: Preventing Catastrophic Outages for Transmission & Substations\n1:00PM – 2:00PM  Topic 3: Data Centers and Its Impact on the Grid\n2:30PM – 3:30PM  Topic 4: Reliability Improvement – Recent Utility Experiences: Challenges\, Success Stories\, and Lessons Learned\n3:30PM – 4:30PM  Topic 5: Innovation In Forensics and Failure Analytics Exhibits\nWednesday April 21 8:30 am to 3:00 pm Conference\n8:30AM – 9:30AM  Topic 6: Reliability\, Resilience\, and Optimization of Capital Investments\n9:30AM – 10:30AM  Topic 7: Reliability\, Resilience & Wildfire Mitigation\n11:00AM – 12:00PM Topic 8: Climate Resiliency & Major Event Response (focus on solutions to address and prevent impacts of summer and winter storms\, flooding\, high-speed winds\, atmospheric rivers\, temperature increase\, etc.)\n1:00PM – 2:00PM  Topic 9: Technology Panel on Reliability\n2:00PM – 3:00PM Topic 10: Western US Experiences\nBldg: Signia By Hilton San Jose\, 170 S. Market St\, San Jose\, California\, United States\, 95113
URL:https://svec.org/event/ieee-power-and-energy-summit-achieving-a-more-reliable-and-resilient-energy-future/
LOCATION:Bldg: Signia By Hilton San Jose\, 170 S. Market St\, San Jose\, California\, United States\, 95113
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DTSTART;TZID=UTC:20250521T010000
DTEND;TZID=UTC:20250521T022000
DTSTAMP:20250509T043335Z
CREATED:20250509T043335Z
LAST-MODIFIED:20250509T043335Z
UID:69982-1747789200-1747794000@svec.org
SUMMARY:Fusion Innovation: Technical\, Policy\, Economic
DESCRIPTION:Join us as we meet with both Chris Young from Lawrence Livermore National Laboratory and researchers from Fuse\, a fast-growing fusion startup focused on Z-Pinch reactors. We will be covering technical\, political\, and economic topics regarding the current fusion research space along with the future of the field\, and hear about the day-to-day of modern fusion researchers.\nThe session will be held in a moderated discussion format\, with opportunities for active engagement and audience questions.
URL:https://svec.org/event/fusion-innovation-technical-policy-economic/
LOCATION:Lyman Atrium
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250521T080000
DTEND;TZID=America/Los_Angeles:20250522T170000
DTSTAMP:20250225T083311Z
CREATED:20250225T083311Z
LAST-MODIFIED:20250225T083311Z
UID:66468-1747814400-1747933200@svec.org
SUMMARY:Center for Advanced Signal and Image Sciences (CASIS) 29th Annual Workshop
DESCRIPTION:We are thrilled to announce LLNL’s 29th Annual CASIS workshop. Join us on May 21-22\, 2025\, from 8:00am to 5:00pm PT\, where we will examine current opportunities and challenges for the signal and image sciences that drive our National Laboratory. Engage with the community at LLNL and beyond and submit an abstract to present your work in one of the tracks or just attend to enjoy networking and to explore collaboration opportunities. With technical tutorials\, hands-on mini-workshops\, and presentations of both original and published work\, this non-archival workshop is the perfect platform to exchange ideas and explore research directions at LLNL. As a first\, we are hosting a dedicated student track to introduce career opportunities at the lab.\n(https://engineering.llnl.gov/centers/casis/workshops)\nThis years’ workshop will feature the following tracks\, moderated by the respective Program Chairs:\n– AI/Machine Learning\n– Multiphysics Systems and Advanced Manufacturing\n– National Ignition Facility\n– Non-Destructive Evaluation\n– Quantum Sensing & Quantum Computing\n– Remote and Non-invasive Sensing\n– Student Track: All topics\nBecome part of this great experience and submit your talk proposal at https://engineering.llnl.gov/centers/casis/workshops before April 18\, 2025!\nCheck out (https://www.llnl.gov/article/51376/signal-image-science-community-comes-together-annual-workshop) for last year’s amazing event to see what to expect!\nThe no-fee CASIS Workshop is sponsored by the (https://engineering.llnl.gov/) and held at the (https://uclcc.org/). It is organized by (https://engineering.llnl.gov/centers/casis) and is a joint meeting with the Oakland East Bay chapters of the (https://www.ewh.ieee.org/r6/oeb/SigProc/sigproc.html) and the (https://r6.ieee.org/sfoeb-cs/). Coffee and snacks will be provided for morning/afternoon poster sessions as well as a lunch on both days. The event is open to the public but requires pre-registration.\nCo-sponsored by: Lawrence Livermore National Laboratory – Center for Advanced Signal and Image Sciences\nBldg: Building 661 L-794\, University of California Livermore Collaboration Center\, 7000 East Ave\, Livermore\, California\, United States\, 94550
URL:https://svec.org/event/center-for-advanced-signal-and-image-sciences-casis-29th-annual-workshop/
LOCATION:Bldg: Building 661 L-794\, University of California Livermore Collaboration Center\, 7000 East Ave\, Livermore\, California\, United States\, 94550
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DTSTART;TZID=America/Los_Angeles:20250521T091500
DTEND;TZID=America/Los_Angeles:20250521T151500
DTSTAMP:20250513T022220Z
CREATED:20250513T022220Z
LAST-MODIFIED:20250513T022220Z
UID:70090-1747818900-1747840500@svec.org
SUMMARY:CSUEB Computer History Museum Field trip
DESCRIPTION:IEEE Student Members from the CSU East Bay Campus will visit the Computer History Museum in Mountain View\, Ca.\nCo-sponsored by: Pierreline Jacob\nAgenda:\n9:15 Carpools depart CSU East Bay Campus\n10:00 arrive CHM\n12:30 Lunch (on your own)\n1:30 resume tour\n3:00 depart CHM\n1401 N Shoreline Blvd.\, Moutain View\, California\, United States\, 94043
URL:https://svec.org/event/csueb-computer-history-museum-field-trip/
LOCATION:1401 N Shoreline Blvd.\, Moutain View\, California\, United States\, 94043
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BEGIN:VEVENT
DTSTART;TZID=US/Pacific:20250521T160000
DTEND;TZID=US/Pacific:20250521T200000
DTSTAMP:20250411T020351Z
CREATED:20250411T020351Z
LAST-MODIFIED:20250411T020351Z
UID:68373-1747843200-1747857600@svec.org
SUMMARY:IEEE SCV WIE AI Summit 2025
DESCRIPTION:[]\nIEEE SCV WIE AI Summit 2025\nIn 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.\nOur 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.\nIn 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.\nWe 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.\nTalk tracks are broadly classified but not limited to\,\n1. Large Language Models (LLMs) & Foundation Models\nEfficient Fine-tuning of LLMs for Low-Resource Languages\, LLM Alignment & Instruction-Tuning: Challenges and Advances\, Scaling Laws: Understanding Model Size vs. Performance\, Multilingual and Cross-Lingual LLM Adaptation\, Memory-Augmented LLMs: Enhancing Long-Term Context Understanding\, LLMs as Knowledge Bases: Reasoning and Fact-Checking\n2. AI Agents\nAutonomous AI Agents: Leveraging LLMs for Task Completion\, Multi-Agent Communication & Collaboration in NLP\, Self-Reflective AI: Reflexion and Self-Improvement in Language Models\, Hierarchical & Modular AI Agents: Towards Scalable Systems\, LLMs as Orchestrators: AI Workflows with Task-Specific Agents\, Grounding LLMs in External Knowledge for Robust Decision-Making\n3. Vision & Multimodality\nVision-Language Models (VLMs): From CLIP to GPT-4V\, Multimodal Agents: Integrating Text\, Image\, and Video Understanding\, Spatial and Temporal Reasoning in Vision-Language Models\, Zero-Shot and Few-Shot Learning in Multimodal AI\, Self-Supervised Learning for Multimodal Representations\, Evaluating Multimodal Models: Metrics & Benchmarks\, Neurosymbolic Approaches for Language and Vision Tasks\n4. MLOps for LLMs\nLLMOps: Best Practices for Training & Deploying LLMs\, Efficient Inference for Large Models: Pruning\, Quantization & Distillation\, Retrieval-Augmented Generation (RAG): Enhancing Context Awareness\, Memory and Context Window Expansion: Architectures & Trade-offs\, Evaluation Metrics for LLMs & Conversational Agents\n5. Knowledge-Grounded & Reasoning\nLLMs for Automated Theorem Proving & Scientific Discovery\, Commonsense Reasoning in AI Agents\, Symbolic vs. Neural Reasoning\, Interpretable Models: Improving Explainability in LLMs\, Unifying Knowledge Graphs and LLMs for Structured Reasoning\n6. On-Device Learning for LLMs and Multi-Modal AI\nOn-Device LLMs & Edge AI for Language Processing and Multimodal Applications\, Security\, Privacy & Ethical Considerations for On-Device LLMs\n7. Ethics\, Bias & Fairness\nBias Mitigation in Large Language Models\, Hallucination Detection & Control in LLMs\, Privacy-Preserving NLP: Federated Learning & Differential Privacy\, AI and Misinformation: Detecting Deepfakes & Generated Content\, Ethical Considerations in Deploying NLP for Real-World Applications\nSpeaker(s): Chloe\, Vishnu\nAgenda:\n4:00-4:45 Registration / Networking\n4:45-5:00 IEEE SCV WIE Welcome Message\n5:00-5:15 Keynote Message\n5:15-6:00 Charting the AI Landscape by Vishnu Pendyala\, Faculty member in Applied Data Science/Academic Senator with San Jose State University\n6:00-6:30 Networking and Refreshments\n6:30-7:00 Multimodal and Physical AI and their application in Embodied and Robotics Space by Chloe MA\, VP ARM\n7:00-7:45 Lightning Talks\n7:45-8:00 Networking and Wrap-up\nBldg: SC9\, Intel\, 2250 Mission College Blvd\, Santa Clara\, California\, United States\, 95054\, Virtual: https://events.vtools.ieee.org/m/479108
URL:https://svec.org/event/ieee-scv-wie-ai-summit-2025/
LOCATION:Bldg: SC9\, Intel\, 2250 Mission College Blvd\, Santa Clara\, California\, United States\, 95054\, Virtual: https://events.vtools.ieee.org/m/479108
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250521T185000
DTEND;TZID=America/Los_Angeles:20250521T200000
DTSTAMP:20250513T022220Z
CREATED:20250513T022220Z
LAST-MODIFIED:20250513T022220Z
UID:70094-1747853400-1747857600@svec.org
SUMMARY:A Trip to the Neural Frontier: Neurosymbolic Sensor Fusion for Trustworthy AI-Enabled Neural Interventions
DESCRIPTION:As neurotechnology advances\, the integration of cyber-physical systems (CPS) with neural sensing is opening new frontiers in human augmentation\, healthcare\, and cognitive computing. However\, these systems introduce new security\, privacy\, and resilience challenges that are often overlooked in traditional CPS security paradigms. This talk will explore the intersection of cyber-physical security and human-in-the-loop neural systems\, drawing on recent work in neurosymbolic sensor fusion and real-time\, multimodal sensing for closed-loop brain stimulation.\nWe will discuss ongoing research into real-world signal variability\, synchronization challenges\, privacy risks in shared environments\, and adversarial threats to neural inference pipelines. Using deep brain stimulation (DBS) as a case study\, we will examine how IoT-integrated neuroscience applications present novel attack surfaces and safety considerations that go beyond traditional CPS security models. We will also highlight our latest work on sensor-based privacy risks\, the ethical considerations of AI-mediated neural interventions\, and the challenge of aligning security and resilience frameworks with dynamic human behavior.\nSpeaker(s): Luis Garcia\nAgenda:\n6:50 – 7 PM: Registration\n7-8 PM: Talk and Q&A\nVirtual: https://events.vtools.ieee.org/m/484536
URL:https://svec.org/event/a-trip-to-the-neural-frontier-neurosymbolic-sensor-fusion-for-trustworthy-ai-enabled-neural-interventions/
LOCATION:Virtual: https://events.vtools.ieee.org/m/484536
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BEGIN:VEVENT
DTSTART;TZID=-07:00:20250521T190000
DTEND;TZID=-07:00:20250521T210000
DTSTAMP:20250315T112610Z
CREATED:20250315T112610Z
LAST-MODIFIED:20250315T112610Z
UID:67433-1747854000-1747861200@svec.org
SUMMARY:A.I. for the Life Sciences with no Code
DESCRIPTION:LOCATION ADDRESS (Hybrid\, in person or by zoom\, you choose)\nValley Research Park\n319 North Bernardo Avenue\nMountain View\, CA CA 93043\nIf you want to join remotely\, you can submit questions via Zoom Q&A. The zoom link:\nhttps://acm-org.zoom.us/\nJoin via YouTube:\nhttps://youtube.com/live/\nAGENDA \n6:30 Door opens\, food and networking (we invite honor system contributions)\n**7:00** SFBayACM upcoming events\, introduce the speaker\n7:15 speaker presentation starts\n8:15 – 8:30 finish\, depending on Q&A \nJoin SF Bay ACM Chapter for an insightful discussion on: \nAbstract \nScientific discovery is entering a new era—one where AI doesn’t just assist researchers but actively drives breakthroughs. At Superbio.ai\, we are building an AI scientist: a multi-agent system that understands scientific challenges\, runs computational experiments\, and delivers actionable insights. This talk will explore how AI can automate scientific reasoning\, optimize model selection\, and accelerate discovery across biopharma\, synthetic biology\, and molecular design. We’ll discuss the technological foundations of this vision\, real-world applications\, and what’s next for AI-powered research. What if AI could design the next generation of therapeutics? Let’s talk about how we’re making that possible. \nSpeaker Bio:\nBerke Buyukkucak is a researcher and entrepreneur specializing in computational biology and machine learning for life sciences. His work focuses on applying generative AI to scientific discovery. He has led AI-driven research and development efforts\, collaborating with academic institutions and biopharma companies to advance computational methods in drug discovery and synthetic biology. \n— \nValley Research Park is a coworking research campus of 104\,000 square feet hosting 30+ life science and technology companies. VRP has over 100 dry labs\, wet labs\, and high power labs sized from 125-15\,000 square feet. VRP manages all of the traditional office elements: break rooms\, conference rooms\, outdoor dining spaces\, and recreational spaces. \nAs a plug-and-play lab space\, once companies have secured their next milestone and are ready to expand\, VRP has 100+ labs ready to expand into.\nhttps://www.valleyresearchpark.com/
URL:https://svec.org/event/a-i-for-the-life-sciences-with-no-code/
LOCATION:Valley Research Park\, 319 N Bernardo Ave\, Mountain View\, CA\, 94043\, United States
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