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DTSTART;TZID=America/Los_Angeles:20260617T183000
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DTSTAMP:20260619T032134
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SUMMARY:AI in Magnetism: Impact\, Challenges and Risks
DESCRIPTION:Talk by Dr. Peter Fischer of Lawrence Berkeley National Laboratory on how artificial intelligence is transforming magnetism research. The discussion covers AI fundamentals\, data requirements\, and key challenges.\nFor full event details: (https://scvmag.org/event/ai-in-magnetism-impact-challenges-and-risks/)\nQuadrant Corp.\, 1120 Ringwood Ct.\, San Jose\, California\, United States\, 95131\, Virtual: https://events.vtools.ieee.org/m/557434
URL:https://svec.org/event/ai-in-magnetism-impact-challenges-and-risks/
LOCATION:Quadrant Corp.\, 1120 Ringwood Ct.\, San Jose\, California\, United States\, 95131\, Virtual: https://events.vtools.ieee.org/m/557434
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DTSTART;TZID=America/Los_Angeles:20260617T190000
DTEND;TZID=America/Los_Angeles:20260617T200000
DTSTAMP:20260619T032134
CREATED:20260610T163324Z
LAST-MODIFIED:20260610T163324Z
UID:78509-1781722800-1781726400@svec.org
SUMMARY:Tech Talk: GPU-Free Real-Time Utility Asset Anomaly Detection
DESCRIPTION:The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership required):\nSpeaker: Lakshmana Rao Koppada ((https://www.google.com/url?q=https://www.linkedin.com/in/lakshmana-koppada/&sa=D&source=calendar&ust=1781490549069271&usg=AOvVaw11bsPeQi6ednCxDVhnMelu))\nTitle: GPU-Free Real-Time Utility Asset Anomaly Detection with IBM Granite TSPulse-R1\nAbstract: Utility enterprises operate geographically distributed critical assets—such as pumps\, tanks\, flow meters\, and substations that demand continuous health monitoring to avert service disruptions\, environmental hazards\, and substantial economic losses. Conventional centralized cloud-based Enterprise Asset Management systems incur high latency\, excessive bandwidth consumption\, and reliance on GPU acceleration\, thereby impeding real-time response in connectivity-constrained environments. This paper introduces a GPU-free edge-to-cloud architecture for real-time anomaly detection that exploits the compact IBM Granite TSPulse-R1 time-series foundation model (approximately 1 million parameters). The framework executes lightweight CPU-only inference on edge gateways and transmits only concise anomaly summaries via Message Queuing Telemetry Transport (MQTT)\, realizing over 99.9% bandwidth reduction relative to raw data transfer. A novel sensor-weighted reconstruction error scoring mechanism prioritizes the most discriminative sensors\, enhancing zero-shot multivariate detection performance. Rigorous evaluation on the Water Treatment dataset\, a real-world industrial control system benchmark featuring 51 sensors and a 12.53% anomalous timestep ratio\, demonstrates an average inference latency of 710.3 ms per 512-timestep chunk\, a ROC-AUC of 0.717\, and tolerance-adjusted recall exceeding 0.945 at ±20 timesteps. Scalability analysis reveals near-linear latency growth with increasing sensor counts and chunk sizes\, confirming feasibility on resource-constrained edge devices. The proposed architecture delivers a scalable\, cost-effective\, and resilient predictive maintenance solution for critical infrastructure\, providing a practical GPU-independent alternative to traditional cloud-centric paradigms while supporting robust operation in distributed utility networks.\nBio: Lakshmana Rao Koppada (IETE Fellow\, Senior Member IEEE\, Professional Member of BCS) is a Digital Transformation Leader and Technical Architect at PwC with over 16 years of experience delivering large-scale enterprise modernization programs. Specializing in IBM Maximo\, cloud platforms\, and Red Hat OpenShift\, he integrates AI/ML\, IoT\, and predictive analytics to improve asset reliability and operational efficiency. He has led global digital transformation initiatives for Fortune 500 organizations across utilities\, pharmaceuticals\, manufacturing\, energy\, and data center industries. A published researcher and certified IBM Maximo/MAS architect\, he actively contributes to international technology conferences and innovation initiatives in AI-driven enterprise systems.\nSpeaker(s): Ram Sekhar Bodala\nVirtual: https://events.vtools.ieee.org/m/563073
URL:https://svec.org/event/tech-talk-gpu-free-real-time-utility-asset-anomaly-detection/
LOCATION:Virtual: https://events.vtools.ieee.org/m/563073
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DTSTART;TZID=-07:00:20260617T190000
DTEND;TZID=-07:00:20260617T210000
DTSTAMP:20260619T032134
CREATED:20260602T223307Z
LAST-MODIFIED:20260602T223307Z
UID:78458-1781722800-1781730000@svec.org
SUMMARY:Startup: Personal Data Sovereignty in Building a Native Trustable Cloud
DESCRIPTION:Designing prompt-engineered AI systems with CDN-native edge inference\, routing\, and secure delivery \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 Presentation\n8:30 – 8:45 finish\, Volunteer recruiting Q&A \nJoin SF Bay ACM Chapter for an insightful discussion on: \n### **Abstract** \nCurrent cloud storage infrastructure is owned and controlled by corporations that set terms\, hold data\, and define access. This talk presents an alternative architectural pattern: a distributed\, community-contributed cloud where individuals own their data\, stored across volunteer-contributed nodes with no single point of corporate control. \nWe present a working implementation built on Python Flask microservices\, Docker containerization\, and MySQL\, demonstrating four core capabilities: \n1. Visual Personal Data Organization: A 5×5 grid interface that maps personal data across five dimensions of life\, featuring a built-in public/private boundary and bilingual (English/Chinese) support. Gmail label integration allows existing personal taxonomies to be imported automatically as data tags.\n2. Microservices Architecture: Defined service boundaries—including identity/authentication\, personal archive storage\, and an ontology service for tag mapping—designed for independent deployment across distributed volunteer hardware.\n3. Volunteer Node Lifecycle Protocol: Unlike traditional distributed systems\, this architecture is designed for planned voluntary participation. Volunteers agree to an SLA before joining. If a volunteer leaves\, a grace period ensures all primary data is migrated before release. The system also handles unexpected failures via automatic replica promotion and manages growth through automatic rebalancing.\n4. Personal Archive Management: Activation of a personal agent to serve as the Archive Manager. \nWe will demonstrate the use of Kubernetes orchestration for real volunteer nodes across public cloud and community hardware. This includes email routing\, family heritage storage\, and social group management\, providing a complete personal data sovereignty stack owned entirely by its community. \n### **Keynote Takeaways** \n* **Observe the usability of such a wall between authorship data\, private data and archived data .**\n* **Explore hardware and software backdoor tolerance on cloud implementation.**\n* **Understand volunteer node ownership duty and rights**\n* **Prominence of joining the development team with comments\, labor\, or financial support**\n* \n**Why This Talk Is Different**\n**Most ACM Bay Area talks focus on published open technologies and experiences. This session goes into native cloud owned and operated by geographically closed in-person friends and relatives.** \n**Speaker Bios**:\n**Venkata Gopi Kolla** – **Software Engineer with 10 years of experience in distributed systems\, and large-scale multi-tenant infrastructure\, global CDN and edge platforms\, where he has led traffic routing\, security enforcement\, caching\, and performance optimization across Akamai\, Cloudflare\, and CloudFront to deliver reliable\, high-throughput enterprise SaaS at internet scale. He is currently focused on edge-optimized delivery and security for generative and agentic AI workloads. He has been a committed volunteer at ACM San Francisco Bay Professional Chapter since 2025.**\nhttps://www.linkedin.com/in/venkata-gopi-kolla-8265a427/\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/startup-personal-data-sovereignty-in-building-a-native-trustable-cloud/
LOCATION:Valley Research Park\, 319 N Bernardo Ave\, Mountain View\, CA\, 94043\, United States
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