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DTSTART;TZID=America/Los_Angeles:20260806T160000
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UID:78563-1786032000-1786035600@svec.org
SUMMARY:Dual Seed Semi-Additive and Damascene Processes: Enabling Fine-Pitch Interconnects for Advanced Packaging
DESCRIPTION:[]\nAs AI\, high-performance computing\, and heterogeneous integration continue to scale\, advanced packaging is facing growing interconnect challenges across redistribution layers\, IC substrates\, HDI boards\, silicon vias\, and emerging glass-core platforms. Higher bandwidth and larger package form factors require finer wiring\, smaller vias\, higher fan-out density\, and more reliable vertical interconnects. In this context\, copper seed formation and via metallization are becoming increasingly important bottlenecks for next-generation package and substrate scaling.\nConventional copper deposition technologies\, including physical vapor deposition\, electroless plating\, and electroplating\, each play essential roles in today’s manufacturing flows. However\, as via structures become smaller\, deeper\, rougher\, or higher in aspect ratio\, limitations such as step coverage\, liquid circulation\, process uniformity\, and seed-layer continuity become more difficult to manage. These challenges are especially relevant across multiple interconnect layers\, including motherboard HDI PCBs\, IC substrates\, RDL\, memory and interposer silicon vias\, and Si BEOL metal\, etc.\nThis presentation will introduce Nano Copper Deposition as a solution family for AI-era interconnect scaling. The talk will cover DeepVia™ HDI for high-aspect-ratio via metallization in motherboard HDI PCBs\, DS-SAP™ for resolving the trade-off between thin surface seed layers and robust via coverage in IC substrates\, and other applications such as Dual Seed Damascene for fine and high-aspect-ratio damascene structures in BEOL and RDL applications\, and DeepVia™ Silicon for memory and interposer silicon vias. The discussion will highlight how these approaches can support higher I/O density\, improved escape routing\, reduced layer-count dependency\, and broader process flexibility for next-generation advanced packaging.\nSpeaker(s): Shinya Shimizu\,\nVirtual: https://events.vtools.ieee.org/m/565310
URL:https://svec.org/event/dual-seed-semi-additive-and-damascene-processes-enabling-fine-pitch-interconnects-for-advanced-packaging/
LOCATION:Virtual: https://events.vtools.ieee.org/m/565310
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DTSTART;TZID=-07:00:20260819T190000
DTEND;TZID=-07:00:20260819T210000
DTSTAMP:20260506T213309Z
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
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DTSTART;TZID=America/Los_Angeles:20260831T170000
DTEND;TZID=America/Los_Angeles:20260831T190000
DTSTAMP:20260802T190307Z
CREATED:20260802T190307Z
LAST-MODIFIED:20260802T190307Z
UID:78720-1788195600-1788202800@svec.org
SUMMARY:2026 GET-AI SERIES: 5 . Connect AI to Enterprise Data
DESCRIPTION:Artificial Intelligence is rapidly evolving from generating content and improving individual productivity to securely interacting with enterprise systems\, applications\, APIs\, and organizational data. As AI assistants and agents become more capable\, organizations need standardized and governed ways to provide them with the context\, tools\, and business capabilities required to perform meaningful work.\nFollowing our July session on Driving Business Efficiency with AI\, the IEEE Orange County Computer Society GET-AI Series continues with a practical\, demo-driven August session focused on the Model Context Protocol (MCP) and its role in connecting AI to enterprise data and systems.\nThis double-feature session will first introduce MCP fundamentals\, including its architecture\, core components\, tools\, resources\, prompts\, and the development of a simple MCP server. The second session will build on that foundation by demonstrating how MCP can be used to connect AI assistants and agents with enterprise applications\, APIs\, databases\, and business workflows.\nBy combining foundational concepts with real-world integration patterns and live demonstrations\, the August session will help attendees understand how MCP enables secure\, scalable\, and intelligent enterprise AI solutions.\n—————————————————————\n🔒 August Focus: Connect AI to Enterprise Data\n[]\nSession 1: MCP Foundations—Building Your First Model Context Protocol Server (45 mins)\nThrough practical explanations and live demonstrations\, this session introduces the Model Context Protocol (MCP) and explains how it enables AI assistants and agents to securely connect with external tools\, applications\, APIs\, and data sources. Attendees will learn how MCP provides a standardized framework for supplying AI systems with the context and capabilities required to perform meaningful tasks.\nThe session will move from core concepts to a hands-on demonstration of building and connecting a simple MCP server.\nTopics include:\n– What MCP is and why it matters in the AI era\n– MCP architecture and core components\n– MCP Hosts\, Clients\, and Servers\n– Tools\, Resources\, and Prompts\n– Connecting AI assistants to external data and capabilities\n– Building a simple MCP server\n– Defining and exposing an MCP tool\n👉 Takeaway: Understand how MCP connects AI assistants and agents with external systems\, and learn how to build a basic MCP server that exposes tools\, resources\, and prompts through a standardized interface.\n—————————————————————\nSession 2: Connecting Enterprise AI Using MCP (45 mins)\nBuilding on the MCP foundations introduced in Session 1\, this session explores how organizations can use the Model Context Protocol (MCP) to connect AI assistants and agents with enterprise applications\, APIs\, databases\, knowledge sources\, and business workflows. Through architecture examples and live demonstrations\, attendees will learn how MCP can enable secure\, scalable\, and governed access to enterprise capabilities.\nThe session will focus on moving from a basic MCP implementation to practical enterprise use cases that support intelligent workflows and real-world business outcomes.\nTopics include:\n– Connecting AI assistants and agents to enterprise systems using MCP\n– Exposing enterprise APIs\, applications\, and data as MCP capabilities\n– Integrating databases\, file repositories\, business systems\, and knowledge sources\n– Combining MCP with Retrieval-Augmented Generation and semantic search\n– Designing secure and governed access to enterprise data\n– Authentication\, authorization\, and access-control considerations\n– Orchestrating multi-step workflows across enterprise systems\n👉 Takeaway: Learn how to use MCP to securely connect AI assistants and agents with enterprise applications\, data\, and workflows\, enabling intelligent automation\, faster access to business information\, and scalable enterprise AI solutions.\n—————————————————————\nAbout the Organizer\nPradyumna Kodgi\nPrincipal Product Manager | Oracle Health & AI\nIEEE Senior Member | Vice Chair\, IEEE EMBS – Orange County\nMember\, IEEE AI Agentic Systems & AI Policy Committees\n📍 California\, USA\n📧 pkodgi@ieee.org\n🔗 linkedin.com/in/pkodgi\nCo-sponsored by: Pradyumna Kodgi\nAgenda:\nAugust Session Agenda\n4:30 PM – 5:00 PM — Registration\, Check-In & Networking\n5:00 PM – 5:15 PM — Welcome\, Introductions & Opening Remarks\nGoogle Meet opens at 5:00 PM. Virtual attendees may join at this time.\n5:15 PM – 6:00 PM — Session 1: MCP Foundations—Building Your First Model Context Protocol Server\n6:00 PM – 6:15 PM — Dinner & Networking\n6:15 PM – 7:00 PM — Session 2: Connecting Enterprise AI Using MCP\n—————————————————————\n🎯 Who Should Attend\n– Business leaders and executives\n– Sales and marketing professionals\n– Product managers and consultants\n– Software engineers and developers\n– Enterprise and solution architects\n– AI practitioners and technology leaders\n– Students and professionals interested in enterprise AI\n—————————————————————\nWhat You’ll Walk Away With\n– A practical understanding of how Model Context Protocol (MCP) connects AI assistants and agents with external tools\, applications\, APIs\, and enterprise data\n– A clear view of MCP architecture\, including Hosts\, Clients\, Servers\, Tools\, Resources\, and Prompts\n– Hands-on insight into building and connecting a simple MCP server\n– Practical strategies for exposing enterprise data and business capabilities through MCP\n– Real-world patterns for connecting AI with applications\, databases\, APIs\, and knowledge sources\n– Best practices for security\, governance\, scalability\, and responsible enterprise AI integration\nThis session will equip attendees with the practical knowledge needed to understand MCP\, build foundational MCP capabilities\, and apply the protocol to create secure\, scalable\, and intelligent enterprise AI solutions.\nRoom: Emerald Cove Conference Room\, Bldg: Beall Applied Innovation\, 5270 California Ave\, 2nd Floor \, IRVINE\, California\, United States\, 92617\, Virtual: https://events.vtools.ieee.org/m/570942
URL:https://svec.org/event/2026-get-ai-series-5-connect-ai-to-enterprise-data/
LOCATION:Room: Emerald Cove Conference Room\, Bldg: Beall Applied Innovation\, 5270 California Ave\, 2nd Floor \, IRVINE\, California\, United States\, 92617\, Virtual: https://events.vtools.ieee.org/m/570942
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260831T170000
DTEND;TZID=America/Los_Angeles:20260831T190000
DTSTAMP:20260802T190307Z
CREATED:20260802T190307Z
LAST-MODIFIED:20260802T190307Z
UID:78721-1788195600-1788202800@svec.org
SUMMARY:2026 GET-AI SERIES: 5 . Connect AI to Enterprise Data
DESCRIPTION:Artificial Intelligence is rapidly evolving from generating content and improving individual productivity to securely interacting with enterprise systems\, applications\, APIs\, and organizational data. As AI assistants and agents become more capable\, organizations need standardized and governed ways to provide them with the context\, tools\, and business capabilities required to perform meaningful work.\nFollowing our July session on Driving Business Efficiency with AI\, the IEEE Orange County Computer Society GET-AI Series continues with a practical\, demo-driven August session focused on the Model Context Protocol (MCP) and its role in connecting AI to enterprise data and systems.\nThis double-feature session will first introduce MCP fundamentals\, including its architecture\, core components\, tools\, resources\, prompts\, and the development of a simple MCP server. The second session will build on that foundation by demonstrating how MCP can be used to connect AI assistants and agents with enterprise applications\, APIs\, databases\, and business workflows.\nBy combining foundational concepts with real-world integration patterns and live demonstrations\, the August session will help attendees understand how MCP enables secure\, scalable\, and intelligent enterprise AI solutions.\n—————————————————————\n🔒 August Focus: Connect AI to Enterprise Data\n[]\nSession 1: MCP Foundations—Building Your First Model Context Protocol Server (45 mins)\nThrough practical explanations and live demonstrations\, this session introduces the Model Context Protocol (MCP) and explains how it enables AI assistants and agents to securely connect with external tools\, applications\, APIs\, and data sources. Attendees will learn how MCP provides a standardized framework for supplying AI systems with the context and capabilities required to perform meaningful tasks.\nThe session will move from core concepts to a hands-on demonstration of building and connecting a simple MCP server.\nTopics include:\n– What MCP is and why it matters in the AI era\n– MCP architecture and core components\n– MCP Hosts\, Clients\, and Servers\n– Tools\, Resources\, and Prompts\n– Connecting AI assistants to external data and capabilities\n– Building a simple MCP server\n– Defining and exposing an MCP tool\n👉 Takeaway: Understand how MCP connects AI assistants and agents with external systems\, and learn how to build a basic MCP server that exposes tools\, resources\, and prompts through a standardized interface.\n—————————————————————\nSession 2: Connecting Enterprise AI Using MCP (45 mins)\nBuilding on the MCP foundations introduced in Session 1\, this session explores how organizations can use the Model Context Protocol (MCP) to connect AI assistants and agents with enterprise applications\, APIs\, databases\, knowledge sources\, and business workflows. Through architecture examples and live demonstrations\, attendees will learn how MCP can enable secure\, scalable\, and governed access to enterprise capabilities.\nThe session will focus on moving from a basic MCP implementation to practical enterprise use cases that support intelligent workflows and real-world business outcomes.\nTopics include:\n– Connecting AI assistants and agents to enterprise systems using MCP\n– Exposing enterprise APIs\, applications\, and data as MCP capabilities\n– Integrating databases\, file repositories\, business systems\, and knowledge sources\n– Combining MCP with Retrieval-Augmented Generation and semantic search\n– Designing secure and governed access to enterprise data\n– Authentication\, authorization\, and access-control considerations\n– Orchestrating multi-step workflows across enterprise systems\n👉 Takeaway: Learn how to use MCP to securely connect AI assistants and agents with enterprise applications\, data\, and workflows\, enabling intelligent automation\, faster access to business information\, and scalable enterprise AI solutions.\n—————————————————————\nAbout the Organizer\nPradyumna Kodgi\nPrincipal Product Manager | Oracle Health & AI\nIEEE Senior Member | Vice Chair\, IEEE EMBS – Orange County\nMember\, IEEE AI Agentic Systems & AI Policy Committees\n📍 California\, USA\n📧 pkodgi@ieee.org\n🔗 linkedin.com/in/pkodgi\nCo-sponsored by: Pradyumna Kodgi\nAgenda:\nAugust Session Agenda\n4:30 PM – 5:00 PM — Registration\, Check-In & Networking\n5:00 PM – 5:15 PM — Welcome\, Introductions & Opening Remarks\nGoogle Meet opens at 5:00 PM. Virtual attendees may join at this time.\n5:15 PM – 6:00 PM — Session 1: MCP Foundations—Building Your First Model Context Protocol Server\n6:00 PM – 6:15 PM — Dinner & Networking\n6:15 PM – 7:00 PM — Session 2: Connecting Enterprise AI Using MCP\n—————————————————————\n🎯 Who Should Attend\n– Business leaders and executives\n– Sales and marketing professionals\n– Product managers and consultants\n– Software engineers and developers\n– Enterprise and solution architects\n– AI practitioners and technology leaders\n– Students and professionals interested in enterprise AI\n—————————————————————\nWhat You’ll Walk Away With\n– A practical understanding of how Model Context Protocol (MCP) connects AI assistants and agents with external tools\, applications\, APIs\, and enterprise data\n– A clear view of MCP architecture\, including Hosts\, Clients\, Servers\, Tools\, Resources\, and Prompts\n– Hands-on insight into building and connecting a simple MCP server\n– Practical strategies for exposing enterprise data and business capabilities through MCP\n– Real-world patterns for connecting AI with applications\, databases\, APIs\, and knowledge sources\n– Best practices for security\, governance\, scalability\, and responsible enterprise AI integration\nThis session will equip attendees with the practical knowledge needed to understand MCP\, build foundational MCP capabilities\, and apply the protocol to create secure\, scalable\, and intelligent enterprise AI solutions.\nRoom: Emerald Cove Conference Room\, Bldg: Beall Applied Innovation\, 5270 California Ave\, 2nd Floor \, IRVINE\, California\, United States\, 92617\, Virtual: https://events.vtools.ieee.org/m/570942
URL:https://svec.org/event/2026-get-ai-series-5-connect-ai-to-enterprise-data-2/
LOCATION:Room: Emerald Cove Conference Room\, Bldg: Beall Applied Innovation\, 5270 California Ave\, 2nd Floor \, IRVINE\, California\, United States\, 92617\, Virtual: https://events.vtools.ieee.org/m/570942
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