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DTSTART;TZID=America/Los_Angeles:20260624T080000
DTEND;TZID=America/Los_Angeles:20260625T170000
DTSTAMP:20260509T010036
CREATED:20260319T184817Z
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UID:77896-1782288000-1782406800@svec.org
SUMMARY:Center for Advanced Signal and Image Sciences (CASIS) 29th Annual Workshop
DESCRIPTION:We are thrilled to host LLNL’s 30th Center for Advanced Signal and Image Sciences (CASIS) workshop. The workshop returns with a full 2-day in-person schedule on Wednesday and Thursday\, June 24-25\, 2026.\nWe encourage a broad range of technical topics at the workshop and being non-archival apart from original work\, we are also considering intermediate results from ongoing efforts as well as recently published publications for presentation as a talk and/or a poster. The goal of the workshop is to provide a platform for the exchange of ideas and network with peers across disciplines to foster collaboration and build community. Please submit your abstract by Friday\, May 15\, 2026. Authors will be notified of the review decisions one week later on May 22\, 2026.\nApart from the regular presentation track we will feature parallel tutorials\, hands-on mini workshops and a dedicated student track to introduce career opportunities at LLNL.\nThe workshop will be held in-person at the (https://uclcc.org/) and requires pre-registration until June 18\, 2026. As this is a 2-day whole-day workshop\, we will provide coffee and snacks in morning and afternoon breaks as well as a lunch on both days. As this is our 30th anniversary\, we will also host a Happy Hour following the regular program on Wednesday\, June 24\, 2026.\n(https://engineering.llnl.gov/centers/casis/workshops)\nThis year’s workshop features presentations in the following tracks\, moderated by the Program Chairs:\n– AI/Machine Learning (PhanNguyen\, Kowshik Thopalli)\n– National Ignition Facility (Eugene Kur\, Christopher Miller)\n– Non-Destructive Evaluation (Seemeen Karimi\, Harry Martz)\n– Quantum Sensing & Quantum Computing (Kristi Beck)\n– Remote Sensing\, Non-Invasive Imaging & Inverse Problems (Sean Lehman\, Viacheslav Li)\n– Robotics & Automation (Aldair Gongora\, Abhik Sarkar)\n– Student Track: All topics (Poster only) (Ted Bauman\, Min Priest)\nBecome part of this great experience and submit your talk proposal at https://engineering.llnl.gov/centers/casis/workshops before May 15\, 2025!\nCheck out (https://www.llnl.gov/article/53041/annual-workshop-brings-together-signal-image-science-community) 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 the (https://engineering.llnl.gov/centers/casis)\, and is a joint meeting with the local chapters of the (https://www.ewh.ieee.org/r6/oeb/SigProc/sigproc.html) and (https://r6.ieee.org/sfoeb-cs/). supported by the (https://r6.ieee.org/oeb/).\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-2/
LOCATION:Bldg: Building 661 L-794\, University of California Livermore Collaboration Center\, 7000 East Ave\, Livermore\, California\, United States\, 94550
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BEGIN:VEVENT
DTSTART;TZID=-07:00:20260715T190000
DTEND;TZID=-07:00:20260715T210000
DTSTAMP:20260509T010036
CREATED:20260420T210319Z
LAST-MODIFIED:20260420T210319Z
UID:78271-1784142000-1784149200@svec.org
SUMMARY:Multi-Agent Systems at Scale as a Shared Platform for the enterprises
DESCRIPTION:AI Agent Infrastructure as a Shared Platform: Patterns for Multi-Agent Systems at Scale for the enterprise. \nLOCATION ADDRESS (Hybrid\, in person or by zoom\, you choose)\nValley Research Park\n319 North Bernardo Avenue\nMountain View\, CA CA 93043\nDon’t use the front door. When facing the front door\, turn right along the front of the building. Turn left around the building corner. The 2nd door should be open and have a banner and event registration. \nIf you want to join remotely\, you can submit questions via Zoom Q&A. The zoom link:\n[Zoom](https://acm-org.zoom.us/j/92225957844?pwd=E1L50oEkTFvwai73PYfGoqsPdi9xIL.1) (updated 6:55 pm)\nJoin via YouTube:\nhttps://www.youtube.com/watch?v=pO72Hb30fKw \nAGENDA\n6:30 Door opens\, food and networking (we invite honor system contributions)\n7:00 SFBayACM upcoming events\, introduce the speaker\n7:15 Speaker presents.\n8:30 – 8:45 finish\, depending on Q&A \nJoin SF Bay ACM Chapter for an insightful discussion on: \n### **Abstract & Overview** \nAn agent is simple: Prompt + Tools + Model + Boilerplate. The first three are where product teams create value. The last one—state management\, history compression\, streaming\, cancellation\, tracing\, memory\, persistence—is 80% of the code but 0% of the differentiation.\nAt ThoughtSpot\, we built an Agent Platform that draws a hard line between agent logic and agent infrastructure\, letting product teams ship customer-facing agents faster by owning only what matters: their prompts and their tools.\nThis talk covers the infrastructure patterns behind that separation:\n**State management across tool calls.** Stateless tools (state on the agent\, passed as arguments) give you testability and let the LLM reason about state. Stateful tools (state in the tool service) avoid serialization overhead. I’ll walk through flow diagrams\, show how we propagate state via tool response metadata\, and discuss when each pattern fits.\n**Configuration-driven agent definitions.** Agents defined entirely through config—templated prompts\, tool endpoints\, sub-agent rules\, compression strategies. Teams ship agents without writing orchestration code.\n**Inter-agent communication.** Two patterns: agents-as-tools (sub-agent called like any tool\, returns structured output) and agent handoff (full conversation transfer). The platform handles routing and context—teams just declare delegation rules.\n**Shared memory across agents.** Memory in the platform\, not individual agents\, means knowledge accumulates across agent boundaries. Tiered scoping (tenant\, org\, user) with retrieval that surfaces relevant context regardless of which agent captured it.\n**Tool protocol design.** MCP as the base\, with patterns layered on top: cancellation semantics\, progress streaming\, context variable propagation\, and adapters for existing services.\nBuilding for customer-facing scale adds constraints—high concurrency\, encryption\, tenant isolation\, auditability—that shaped our API design throughout.\n**Takeaways:** \n* Mental model for separating agent value from infrastructure\n* State patterns: agent-side vs. tool-side tradeoffs\n* Inter-agent communication: tools vs. handoff\n* Shared memory architecture across agent boundaries\n* MCP extensions for production systems. \nSpeaker Bio\nAshish Shubham is Fellow/Vice President of Engineering at ThoughtSpot\, where he leads the architecture of enterprise-scale AI and embedded analytics platforms used by Fortune 500 organizations. He is the author of *Architecting AI Data Systems* and an inventor on multiple U.S. patents in natural-language-to-SQL\, generative AI interfaces\, and intelligent analytics. Ashish is an IEEE Senior Member and an active reviewer and committee contributor for leading IEEE and ACM conferences and workshops. His work bridges academic research and real-world deployment\, with a focus on building scalable\, trustworthy\, and developer-centric AI systems for production environments.\n[https://linkedin.com/in/ashubham](https://linkedin.com/in/ashubham) \n—\nValley Research Park is a coworking research campus of 104\,000 square feet hosting 60+ 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/multi-agent-systems-at-scale-as-a-shared-platform-for-the-enterprises/
LOCATION:Valley Research Park\, 319 N Bernardo Ave\, Mountain View\, CA\, 94043\, United States
ATTACH;FMTTYPE=image/jpeg:https://svec.org/wp-content/uploads/2026/04/1024x576-GLjUV3.jpg
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DTSTART;TZID=-07:00:20260727T190000
DTEND;TZID=-07:00:20260727T210000
DTSTAMP:20260509T010036
CREATED:20260506T213308Z
LAST-MODIFIED:20260506T213308Z
UID:78401-1785178800-1785186000@svec.org
SUMMARY:System Engineering: The Role of AI and Software in Emissions Reduction
DESCRIPTION:System Engineering Our Way to a Sustainable Future: The Role of AI and Software in Emissions Reduction \nLOCATION ADDRESS (Hybrid\, in person or by zoom\, you choose)\nValley Research Park\n319 North Bernardo Avenue\nMountain View\, CA CA 93043\nDon’t use the front door. When facing the front door\, turn right along the front of the building. Turn left around the building corner. The 2nd door should be open and have a banner and event registration. \nIf you want to join remotely\, you can submit questions via Zoom Q&A. The zoom link:\n[https://acm-org.zoom.us/j/95226212956?pwd=HnAedzSDGcYAYsCzTuavIvMYMFtILa.1](https://acm-org.zoom.us/j/95226212956?pwd=HnAedzSDGcYAYsCzTuavIvMYMFtILa.1)\nJoin via YouTube:\n[https://youtube.com/live/cu5TDl8N2Mk](https://youtube.com/live/cu5TDl8N2Mk) \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: \n**Talk Description**:\nTackling climate change isn’t just a moral imperative—it’s an optimization problem. Life Cycle Assessment (LCA)\, the gold standard for measuring environmental impact\, has historically been slow\, expensive\, and data-starved. But AI can change that. By automating data collection\, predicting missing inputs\, and scaling complex calculations\, “life cycle LLMs” can make LCA fast\, accurate\, and actionable. With better system-level visibility\, organizations can identify emission hotspots\, avoid false trade-offs\, and make decisions that genuinely move the needle on net-zero goals.\nSoftware itself is part of the problem\, but also a powerful lever. As computing’s carbon footprint grows\, developers can embed sustainability into their work through efficient algorithms\, leaner data flows\, and low-carbon infrastructure choices—what some call “green coding.” More importantly\, software can multiply impact: powering smart grids\, optimizing logistics\, or modeling entire supply chains. This talk makes the case that the biggest climate wins won’t come from treating sustainability as charity—they’ll come from treating it like the ultimate systems engineering challenge. \n**Speaker Bio**:\nJohanna Behm is a “recovering” event planner on a mission to help the events industry cut up to 10% of global carbon emissions by automating sustainability tracking and operational workflows for live events. \nA native of Finland\, Johanna grew up in a culture where sorting household waste into seven bins and minimizing waste was simply part of daily “workfow”. She was astonished by her industry’s wasteful nature and realized majority of sustainability-related problems can be attributed to poor planning and information gaps. While recruiting technical talent for her startup Envire\, Johanna also realized that most software engineers are not aware that their skills could be deployed to solve some of the most pressing environmental issues and social challenges our whole planet and humanity is facing today.Prior to his work at Google\, Saurabh gained valuable experience as an SRE at Okta. He is also a thought leader in SRE and cloud technologies\, a mentor for startup entrepreneurs through the Google for Startups program\, and a frequent speaker on the topic of foundational thinking for scalable and reliable system infrastructure.\n**[envire.ai](http://envire.ai/)** \n— \nValley Research Park is a coworking research campus of 104\,000 square feet hosting 60+ 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/system-engineering-the-role-of-ai-and-software-in-emissions-reduction/
LOCATION:Valley Research Park\, 319 N Bernardo Ave\, Mountain View\, CA\, 94043\, United States
ATTACH;FMTTYPE=image/jpeg:https://svec.org/wp-content/uploads/2026/05/1024x576-NAa4bR.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=-07:00:20260819T190000
DTEND;TZID=-07:00:20260819T210000
DTSTAMP:20260509T010036
CREATED:20260506T213309Z
LAST-MODIFIED:20260506T213309Z
UID:78402-1787166000-1787173200@svec.org
SUMMARY:Modern Test Automation & Quality Engineering in Agile Systems
DESCRIPTION:LOCATION ADDRESS (Hybrid\, in person or by zoom\, you choose)\nValley Research Park\n319 North Bernardo Avenue\nMountain View\, CA CA 93043\nDon’t use the front door. When facing the front door\, turn right along the front of the building. Turn left around the building corner. The 2nd door should be open and have a banner and event registration. \nIf you want to join remotely\, you can submit questions via Zoom Q&A. The zoom link:\n[https://acm-org.zoom.us/j/95226212956?pwd=HnAedzSDGcYAYsCzTuavIvMYMFtILa.1](https://acm-org.zoom.us/j/95226212956?pwd=HnAedzSDGcYAYsCzTuavIvMYMFtILa.1)\nJoin via YouTube:\n[https://youtube.com/live/cu5TDl8N2Mk](https://youtube.com/live/cu5TDl8N2Mk) \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: \n**Talk Description**: \nAs software delivery accelerates\, traditional testing approaches struggle to keep pace with Agile and DevOps environments. Modern systems demand more than automated test cases—they require a shift toward quality engineering practices that embed reliability\, scalability\, and continuous feedback into every stage of development. \nThis talk explores how test automation has evolved from a validation activity into a core engineering discipline. We will examine how to design resilient automation frameworks\, integrate testing seamlessly into CI/CD pipelines\, and build quality signals that provide real-time insight into system health.\nThrough practical examples\, the session will highlight strategies for moving beyond UI-driven automation toward API\, integration\, and workflow-level validation. It will also cover key aspects such as test data management\, environment stability\, performance considerations\, and accessibility as part of continuous quality. \nAttendees will gain a clear understanding of how to align automation with Agile delivery\, reduce flaky tests\, and create scalable\, maintainable solutions that support rapid releases without compromising quality.\nThis session is designed for engineers and quality professionals who want to modernize their automation approach and build systems that are reliable by design\, not just tested after the fact. \n**Speaker Bio**:\nShri Lakshmi Rajagopal\, a Senior Quality Engineering Leader and Test Automation Architect. She has over 14 years of experience in software quality engineering\, automation architecture\, and engineering leadership. Her work focuses on designing maintainable automation frameworks\, enabling Agile quality practices\, and mentoring teams to adopt modern testing strategies. She is passionate about sharing practical insights that help teams build reliable and scalable software systems. \nLinkedIn:[https://www.linkedin.com/in/shri-lakshmi-rajagopal-a5012428](https://www.linkedin.com/in/shri-lakshmi-rajagopal-a5012428) \n— \nValley Research Park is a coworking research campus of 104\,000 square feet hosting 60+ 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/modern-test-automation-quality-engineering-in-agile-systems/
LOCATION:Valley Research Park\, 319 N Bernardo Ave\, Mountain View\, CA\, 94043\, United States
ATTACH;FMTTYPE=image/jpeg:https://svec.org/wp-content/uploads/2026/05/1024x576-NfPn4j.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=-07:00:20260916T190000
DTEND;TZID=-07:00:20260916T210000
DTSTAMP:20260509T010036
CREATED:20260506T213309Z
LAST-MODIFIED:20260506T213309Z
UID:78404-1789585200-1789592400@svec.org
SUMMARY:Beyond the Buzzwords: The Real Engineering Challenges of Augmented Reality
DESCRIPTION:LOCATION ADDRESS (Hybrid\, in person or by zoom\, you choose)\nValley Research Park\n319 North Bernardo Avenue\nMountain View\, CA CA 93043\nDon’t use the front door. When facing the front door\, turn right along the front of the building. Turn left around the building corner. The 2nd door should be open and have a banner and event registration. \nIf you want to join remotely\, you can submit questions via Zoom Q&A. The zoom link:\n[https://acm-org.zoom.us/j/95226212956?pwd=HnAedzSDGcYAYsCzTuavIvMYMFtILa.1](https://acm-org.zoom.us/j/95226212956?pwd=HnAedzSDGcYAYsCzTuavIvMYMFtILa.1)\nJoin via YouTube:\n[https://youtube.com/live/cu5TDl8N2Mk](https://youtube.com/live/cu5TDl8N2Mk) \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: \n**Talk Description**:\nTalk description: Augmented Reality is often talked about in terms of its potential\, but what does it actually take to build it? This talk offers a candid\, high-level look at the engineering challenges that make AR glasses hard\, from power and thermals to silicon design\, and what it means to optimize at every layer of the stack to bring a product to life. \nReading material/blogs:\n[https://www.meta.com/blog/orion-ar-glasses-augmented-reality/](https://www.meta.com/blog/orion-ar-glasses-augmented-reality/)\n[https://www.meta.com/blog/boz-to-the-future-episode-22-wearables-orion-ray-ban-meta-alex-himel/](https://www.meta.com/blog/boz-to-the-future-episode-22-wearables-orion-ray-ban-meta-alex-himel/)\n[https://www.meta.com/blog/orion-compute-puck-reality-labs-next-computing-platform/](https://www.meta.com/blog/orion-compute-puck-reality-labs-next-computing-platform/)\n[https://www.meta.com/blog/orion-custom-silicon-chips-ip-blocks-accelerators-ar-algorithms-energy-efficiency-reality-labs/](https://www.meta.com/blog/orion-custom-silicon-chips-ip-blocks-accelerators-ar-algorithms-energy-efficiency-reality-labs/) \n**Speaker Bio**:\n**Shanmathi Natarajan is a Silicon Power Architect with experience at Meta Reality Labs\, where she led end-to-end power architecture for next-generation AR glasses. Her work spanned the full silicon lifecycle\, from early-stage SoC power modeling and architectural exploration to post-silicon validation and real-world correlation\, with a focus on turning high-level design intent into measurable efficiency gains on final silicon.**\n**Her work includes driving significant use-case power reductions on wearable SoCs\, directly enabling better battery life and user experience on AR devices. Her expertise spans low-power design methodologies\, hardware-software co-design\, DVFS and power state architecture\, and cross-layer optimization across compute\, memory\, and interconnect subsystems.**\n**Her research interests lie at the hardware-software boundary\, where low-level architectural decisions in AR glasses\, GPU architectures\, and energy-constrained systems translate directly into product-level impact.** \nhttps://www.linkedin.com/in/shanmathi-natarajan \n— \nValley Research Park is a coworking research campus of 104\,000 square feet hosting 60+ 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/beyond-the-buzzwords-the-real-engineering-challenges-of-augmented-reality/
LOCATION:Valley Research Park\, 319 N Bernardo Ave\, Mountain View\, CA\, 94043\, United States
ATTACH;FMTTYPE=image/jpeg:https://svec.org/wp-content/uploads/2026/05/1024x576-s1XBmH.jpg
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