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DTSTART;TZID=America/Los_Angeles:20250916T090000
DTEND;TZID=America/Los_Angeles:20250917T170000
DTSTAMP:20260428T104127
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SUMMARY:Special $25 IEEE member registration fees (a $935 value) for attending Wearable Technologies Conference USA at the Computer History Museum on September 16 - 17
DESCRIPTION:Hosted by IEEE SFBA CTSoC and EMBS Chapters\nWe’re thrilled to invite you to the Wearable Technologies Conference 2025 USA\, happening September 16–17 at the iconic Computer History Museum in Mountain View\, CA.\nEvent: (https://wearable-technologies.com/events/wt-wearable-technologies-conference-2025-usa)\nLocation: Computer History Museum\, Mountain View\, CA\nAgenda: (https://wearable-technologies.com/e-agenda/wt-conference-us-2025—agenda)\nIEEE Member Discounted Ticket price: Just $25! (Regular: $935)\nTo get the discounted price\, in the ticket store: https://store.wearable-technologies.com/product-selection.html?e=WTUS_25 (valid for both conference days and the evening reception). Select "Are you an IEEE member?"\, fill out your name\, email and IEEE membership number. A special IEEE discount code will be email to you.\n(Thanks to joint sponsorship from SFBA CTSoc & EMBS\, to make this incredible discount possible)\nFeatured Speakers Include:\n– Daniel Kraft\, M.D. – Founder\, NextMed Health & Digital Health\n– Angela McIntyre – Executive Director\, Stanford eWEAR\n– Walter Greenleaf\, PhD – Neuroscientist & Medical Technology Developer\, Stanford University\n– Adrian Condon – CTO\, B-Secur\n– Alen Juginovic – Postdoctoral Researcher\, Harvard Medical School\n– Catherine Liao – Chief Strategy Officer\, Cardiex\n– Pieris Berreitter – Director of Engineering\, HP\n– John Rootenberg – Principal Director\, Digital Safety & Decision Support\, Genentech/Roche\nExpect a stellar lineup of speakers\, engaging sessions\, and excellent networking opportunities. Special thanks to our dedicated officers for their outreach and efforts in securing this opportunity—please take full advantage!\nWhy Attend?\nConnect – Network with top innovators\, researchers\, and industry leaders across the wearable tech ecosystem.\nLearn – Gain cutting-edge insights from global experts on topics like digital health\, AI in wearables\, smart patches\, and longevity tech.\nDiscover – Explore the latest breakthroughs in wearable technology—from biosensors to AI-powered devices—through live demos and exhibits.\nGrow – Leverage the WT platform for unique business development opportunities and lead generation.\nBe Seen – Engage with international media and elevate your brand visibility in the global wearable tech space.\nDon't miss this opportunity to engage with the future of wearable tech!\nBest regards\,\nIEEE SFBA CTSoc and EMBS Chapters\nCo-sponsored by: Wearable Technologies Conference\nAgenda:\nAgenda: (https://wearable-technologies.com/e-agenda/wt-conference-us-2025—agenda)\n1401 N Shoreline Blvd.\,\, Mountain View\, California\, United States\, 94043
URL:https://svec.org/event/special-25-ieee-member-registration-fees-a-935-value-for-attending-wearable-technologies-conference-usa-at-the-computer-history-museum-on-september-16-17/
LOCATION:1401 N Shoreline Blvd.\,\, Mountain View\, California\, United States\, 94043
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=US/Pacific:20250917T180000
DTEND;TZID=US/Pacific:20250917T190000
DTSTAMP:20260428T104127
CREATED:20250729T094857Z
LAST-MODIFIED:20250729T094857Z
UID:76781-1758132000-1758135600@svec.org
SUMMARY:Panel discussion - From Prompt to Production: Operationalizing Agentic LLM Systems
DESCRIPTION: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.):\nhttps://sjsu.zoom.us/meeting/register/i6n2sgjLQFelwXCNz4-YGQ\nSynopsis:\nAs 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.\nThis 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.\nWhether 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.\n—————————————————————\nBy 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.\nSpeaker(s): Yubin Kim\, Gautam Solaimalai\, Shaleen Kumar Gupta\, Vishal Jain\, Rahul Raja\, Harsh Varshney\nVirtual: https://events.vtools.ieee.org/m/494702
URL:https://svec.org/event/panel-discussion-from-prompt-to-production-operationalizing-agentic-llm-systems/
LOCATION:Virtual: https://events.vtools.ieee.org/m/494702
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250917T183000
DTEND;TZID=America/Los_Angeles:20250917T200000
DTSTAMP:20260428T104127
CREATED:20250906T104903Z
LAST-MODIFIED:20250906T104903Z
UID:77058-1758133800-1758139200@svec.org
SUMMARY:Test-and-Measurement Signal Generators: Current Status and Future Trends
DESCRIPTION:The signal generator is a key instrument of virtually any RF/microwave system . It generates a stimulus signal on the transmitter side or is used as a local oscillator in a variety of up- and down-conversion schemes. Signal generators are also one of the fastest growing segments in the test-and-measurement market with an annual growth rate of about 7% . Demand is driven by the wireless communications\, aerospace and defense\, and automotive industries as well as by new technologies such as 6G . The principal driver behind the 6G technology is the ever-increasing need for more capacity and higher data rates in wireless networks. Due to the heavy use of existing frequency bands\, there is a strong interest to use higher frequencies to enable more bandwidth. This is generating the interest to move to beyond 100 GHz carrier frequencies and to the Terahertz domain. Aside from the frequency coverage\, phase noise remains one of the most critical parameters that impose the ultimate limit in the system’s ability to resolve signals of small amplitude. Furthermore\, today the industry demands more complex waveforms to transmit more information over available frequency bands.\nSignal Generator characteristics depend heavily on particular architectures that can be classified into a few main groups\, namely direct analog\, direct digital\, and indirect schemes . As of today\, traditional indirect phase-lock-loop (PLL) architectures still dominate. On the other hand\, direct analog synthesis is the most advanced approach that demonstrates extremely fast switching speed and low phase noise. Future developments\, however\, are associated with direct digital synthesis (DDS) due to the rapid progress in solid-state technologies. The extension of usable DDS bandwidth to several tens of gigahertz with its spurious content reduction is expected. Arbitrary waveform generators (AWG) are utilized to generate more complex waveforms. Similar to DDS technologies\, the extension of AWG usable bandwidth is expected. Such complex signals can be further up-converted to millimeter-wave and sub-THz frequencies targeting future communications systems such as 6G. Current architectures\, new market trends and future solutions are going to be discussed.\nSpeaker(s): Alexander Chenakin\,\nVirtual: https://events.vtools.ieee.org/m/499679
URL:https://svec.org/event/test-and-measurement-signal-generators-current-status-and-future-trends/
LOCATION:Virtual: https://events.vtools.ieee.org/m/499679
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250917T190000
DTEND;TZID=America/Los_Angeles:20250917T203000
DTSTAMP:20260428T104127
CREATED:20250804T094811Z
LAST-MODIFIED:20250804T094811Z
UID:76820-1758135600-1758141000@svec.org
SUMMARY:It’s a Bit More Than Warming
DESCRIPTION:Abstract:\n2015: A Solution\, Difficult\, But Feasible…\nhttps://tinyurl.com/yafgmlmd\n2025 – No More Time\nMethane releases from natural sinks like tundra\, are larger than our well leakages. This is now in positive feedback (releases breed more releases) independent of us. Siberian and US/Canadian tundra\, for instance\, are releasing CH4 at accelerating rates partly due to our past CO2 emissions. What we must know to prevent oceanic extinctions\, especially of O2 producers & CO2 sequesters\, on track to occur by 2050.\nSpeaker(s): Alex\,\nAgenda:\nThis is a virtual presentation via zoom.\nIt will be followed with a Q-A.\nVirtual: https://events.vtools.ieee.org/m/495528
URL:https://svec.org/event/its-a-bit-more-than-warming/
LOCATION:Virtual: https://events.vtools.ieee.org/m/495528
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=-07:00:20250917T190000
DTEND;TZID=-07:00:20250917T210000
DTSTAMP:20260428T104127
CREATED:20250817T195044Z
LAST-MODIFIED:20250817T195044Z
UID:76899-1758135600-1758142800@svec.org
SUMMARY:From Collision to Discovery: Machine Learning at the Large Hadron Collider
DESCRIPTION:How do we solve the universe’s biggest secrets? At the [Large Hadron Collider (LHC)](https://home.cern/science/accelerators/large-hadron-collider) – a 27-kilometer ring beneath the French-Swiss border – protons collide at nearly the speed of light\, recreating conditions like just after the Big Bang. These collisions have led to groundbreaking insights\, including the discovery of the [Higgs boson](https://home.cern/science/physics/higgs-boson) in 2012\, yet the greatest mysteries remain: what is the nature of dark matter and dark energy\, which make up 95% of the universe’s energy but have never been observed directly. \nHunting for these elusive phenomena requires extraordinary algorithms and data analysis. The detectors at the LHC have access to data at an incredible rate of 60 terabytes per second – a perfect challenge for fast\, high‑precision data analysis and machine learning (ML). In this talk\, we’ll explore how ML powers countless stages of the scientific process: from real‑time event selection and particle reconstruction to the data analyses that lead to published discoveries. \nJoin us for a virtual visit to the LHC\, where scientists push the limits of data and algorithms to shed light on the 95% of the universe that still lies in the dark. \n— \nDennis Noll is a postdoctoral researcher in physics at Stanford University. As a member of Prof. Nachman’s research group\, he uses the latest and most advanced computing techniques to tackle some of the most significant challenges in Particle Physics. Dennis’s research focuses on the development and implementation of smart\, fast\, and reproducible physics analyses\, leveraging machine learning\, high performance computing\, and graph-based computing workflows. He is an expert in Higgs boson research and is pioneering AI-driven methodologies to detect anomalies within the extensive datasets generated by the Large Hadron Collider (LHC) at CERN. Outside of his research\, Dennis fosters collaboration and inclusion in the local postdoc community and optimizes his coffee consumption using Bayesian optimization.
URL:https://svec.org/event/from-collision-to-discovery-machine-learning-at-the-large-hadron-collider/
LOCATION:Valley Research Park\, 319 N Bernardo Ave\, Mountain View\, CA\, 94043\, United States
ATTACH;FMTTYPE=image/jpeg:https://svec.org/wp-content/uploads/2025/08/1024x576-iM2Tqo.jpg
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