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SUMMARY:Silicon\, Systems\, and Supercomputers: The Past\, Present\, and Future of Compute Infrastructure
DESCRIPTION:This event will be held in person only. Free admission – registration required. (www. austinforum.org/events) \nEvery breakthrough in artificial intelligence\, climate modeling\, molecular simulation\, energy production\, pharmaceutical design\, and more is powered by massive computational infrastructure. From the micro-architectures carved into silicon chips to the sprawling supercomputers and interconnected cloud clusters that span entire data centers\, compute capacity is the foundational engine of modern scientific discovery\, engineering innovation\, and business operations. \nOn September 1\, join the Austin Forum for a fast-paced\, comprehensive exploration of the past\, present\, and possible futures of compute infrastructure. Our speakers will trace the trajectory of hardware evolution—from legacy chip paradigms to today’s exascale hyperscale clusters—and share a comprehensive overview of the current\, state of the art computing infrastructure. The presentation will conclude with thoughts on the future of computing—from architectures to new applications\, drivers\, and impacts. Spanning technology\, real-world applications\, power/energy constraints\, and global economics; this presentation will give you a complete picture of the physical systems driving our digital world. \nKey Discussion Highlights\n*The Evolution of Silicon: How Moore’s Law drove decades of microprocessor innovation\, where chip scaling stands today\, and why specialized accelerators (GPUs\, TPUs\, and domain-specific ASICs) have taken center stage.\n*Systems\, Clusters\, and Clouds: How individual chips are integrated into boards\, servers\, racks\, and massive clusters that power modern high-performance computing (HPC) supercomputers and public cloud platforms.\n*Future Architectures on the Horizon: What comes next when traditional silicon hits physical limits? An exploration of alternative paradigms\, including 3D stacked chiplets\, optical/photonic computing\, neuromorphic processing\, and quantum integration.\n*Workloads Shaping the Hardware: How applications—from frontier AI training and drug discovery to real-time defense and financial modeling—are dictating future hardware design requirements.\n*Power\, Cooling\, and Economics: Confronting the physical reality of building gigawatt-scale infrastructure—including thermal management\, energy grid demands\, capital expenditure dynamics\, and global supply chain considerations. \nEvent Agenda & Post-Event Networking\n*Presentation: A high-octane\, multi-perspective overview of silicon\, systems\, and supercomputer architectures.\n*Audience Q&A: Bring your technical and economic questions for an interactive session with our expert presenters.\n*Continued Conversation at Remedy: When the Q&A wraps\, the evening is far from over! Head down the street with us to Remedy\, located at 3rd & Nueces\, for post-event networking. \nConnect with fellow attendees\, swap insights on the future of compute\, and enjoy a complimentary drink courtesy of our generous Austin Forum Annual Partners\, Champions\, and Friends.
URL:https://austin-ai.org/event/silicon-systems-and-supercomputers-the-past-present-and-future-of-compute-infrastructure/
LOCATION:The Center for Government and Civic Service\, ACC Rio Grande: Building 3000\, 1218 West Avenue\, Austin\, TX\, 78701\, United States
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DTSTART;TZID=America/Chicago:20260916T173000
DTEND;TZID=America/Chicago:20260916T203000
DTSTAMP:20260916T174518Z
CREATED:20260702T213128Z
LAST-MODIFIED:20260916T174518Z
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SUMMARY:Beyond the Prototype II: Human Guidance and Self-Improving AIs
DESCRIPTION:Build the AI agent that does useful work\, grades itself\, and gets better without becoming a corporate liability.\nMost AI “agents” are just chatbots with a LinkedIn headline. They produce something once\, nobody checks whether it was any good\, and the whole thing quietly becomes another tab you stop opening. \nThis is the antidote. \nBeyond the Prototype II: Self-Recursive Agents is a three-hour\, hands-on build session for operators who are done admiring demos and ready to put AI to work. You will build a real\, useful agent around a task that matters to your day job: researching a market\, drafting content\, summarizing inbox traffic\, preparing a customer brief\, or another workflow you actually want off your plate. \nThen we make it smarter. Your agent will evaluate the quality of its own output\, propose a specific improvement\, test that improvement against a benchmark\, and adopt the new version only if it beats the old one. That is the difference between an AI trick and an operational system. \nThis is the longer\, deeper sequel to Mario Facussé’s popular first Austin AI Alliance session on self-recursive agents. The original session opened the hood. This one hands you the wrench\, keeps the theory on a short leash\, and gives you three focused hours to build. You do not need to be technical. You do need to be willing to stop outsourcing your operational leverage to a pile of prompts and wishful thinking. \nThe promise: You will leave with a working recursive agent and a practical operating model for improving it safely—without having to babysit every output\, every prompt\, or every “clever” idea the model has at 2:00 AM. \nWhat You’ll be Able to Walk Away With\n\nTurn a real business problem into an agent with a job description. You will define one useful task\, specify what “good” looks like\, and build a working agent that produces an output you can use—not a generic demo that dies the moment you get back to work.\nGive your agent a quality-control brain. You will add a self-evaluation layer and a small set of “golden tasks” so the agent can judge its output\, identify weaknesses\, and propose a targeted improvement rather than simply generating more confident nonsense.\nBuild a safe improvement loop that earns autonomy. You will implement a simplified recursive cycle: generate\, evaluate\, improve\, test\, and deploy only when the candidate version passes. You will also leave with guardrails that stop regressions from sneaking into production wearing a tiny AI trench coat.\n\nWhat Makes This Session Different\n\nYou build the machine; you do not watch Mario build it. This is not a keynote with tasteful screenshots and a QR code leading to disappointment. The session is deliberately designed for hands-on progress\, with clear checkpoints and a usable result by the end.\nIt teaches the part most AI workshops skip: safe self-improvement. Anyone can prompt a model. Few people know how to make an agent learn from failures\, test its own changes\, and reject a “better” version when the evidence says it is worse. That is the useful bit.\nIt translates production-grade agent design into operator language. Mario will distill the same ideas behind his ATLAS system—adaptive refinement\, self-evolving learning\, autonomous validation\, trust tiers\, regression gates\, and benchmark testing—into a version you can understand\, build\, and extend without a computer-science degree or a spiritual relationship with YAML (Yet Another Markup Language).\n\nWho it is for\n\nAmbitious executives\, managers\, and operators who are responsible for outcomes\, buried under repetitive work\, and tired of hearing that AI is “transformative” without seeing what to do on Monday morning.\nNo-code and low-code business builders who want to move beyond one-off prompts and create an AI system that can improve a repeatable business task while maintaining sensible human oversight.\n\nBefore you arrive\n\nBring one process you would happily fire from your calendar. Choose a repetitive\, judgment-heavy task that takes at least 30 minutes each week: research\, content drafting\, account preparation\, inbox triage\, meeting summaries\, competitive monitoring\, or a similar workflow. If it is annoying and measurable\, it is a strong candidate.\nComplete the short setup checklist sent before the event. Arrive with your laptop charged and your selected tools/accounts ready to use. The checklist will be intentionally simple; its only purpose is to ensure you spend the session building\, not negotiating with a forgotten password reset link.\n\nInstructor Bio\nMario Facussé is the Managing Director of MEF Solutions\, a consulting firm helping private equity operating teams identify high-value bottlenecks and solve them with agentic swarms. He hdesigns self-evolving agent systems that move beyond the prototype phase: systems that handle business work\, measure their own quality\, learn from mistakes\, and earn greater autonomy through evidence rather than hype. \nMario’s ATLAS system coordinates more than ten specialized AI agents across business functions\, from content creation and financial analysis to infrastructure monitoring. Its operating model combines adaptive prompt refinement\, self-evolving learning\, autonomous validation\, capability-based trust tiers\, regression gates\, and golden-task benchmarks—because an agent that changes itself without a test is not autonomous; it is unsupervised. \nHe has spoken at Austin AI Alliance and Comms Week\, and he advises enterprise teams on turning AI experiments into production-grade systems that produce measurable work. Mario’s approach is direct: show the machine\, prove the outcome\, then scale what works. Connect with him on LinkedIn.
URL:https://austin-ai.org/event/hota-beyond-the-prototype-2/
LOCATION:The Center for Government and Civic Service\, ACC Rio Grande: Building 3000\, 1218 West Avenue\, Austin\, TX\, 78701\, United States
CATEGORIES:AAIA,HOTA
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ORGANIZER;CN="Austin AI Alliance":MAILTO:info@austin-ai.org
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DTSTART;TZID=America/Chicago:20260924T073000
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SUMMARY:Reuters Momentum AI Austin 2026
DESCRIPTION:The AI Honeymoon Is Over — Now Comes the Work. \nMomentum AI Austin convenes the leaders responsible for making AI deliver real business value. Across four interconnected pillars\, BUILD\, GOVERN\, LEAD\, and GROW\, executives will explore how to scale AI\, manage risk\, drive organizational change\, and unlock measurable outcomes. \nDesigned for C-suite and senior decision-makers\, the event cuts through the hype to focus on proven strategies\, practical lessons\, and enterprise-scale execution. \nFeaturing a Harvard Masterclass\, startup innovation stage\, leadership and culture sessions\, robot showcases\, and more\, Momentum AI Austin goes far beyond the traditional conference experience. \nRegister at https://events.reutersevents.com/momentum
URL:https://austin-ai.org/event/momentum-ai-austin-2026/
LOCATION:TX
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