BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260807T193616Z UID:B30DADC4-F0E1-4762-9C6D-05A20BDDFE48 DTSTART;TZID=America/New_York:20260915T160000 DTEND;TZID=America/New_York:20260915T170000 DESCRIPTION:Abstract:\n\nThe next breakthrough in artificial intelligence w ill be driven not only by advances in models and accelerators\, but by inn ovations in communication networks. As AI systems scale from thousands to millions of distributed accelerators\, communication is rapidly replacing computation as the primary bottleneck.\n\nAI systems demand massive data m ovement demand networking architectures that provide unprecedented levels of bandwidth\, ultra-low latency\, resilience\, security\, and energy effi ciency. The network is becoming an integral part of the AI system. Today's communication infrastructures face serious challenges in scalability\, re liability\, security\, energy consumption\, operational complexity\, maint enance and management as we continue to use retrofitted technologies and s olutions designed for communications and technologies that existed several decades ago. These limitations threaten to constrain the future of large- scale AI training\, distributed AI inference\, and emerging autonomous AI ecosystems. Addressing these challenges requires rethinking networking fro m first principles and developing architectures and techniques suited to A I-native traffic models and demands and workloads and technologies with a capability to evolve with trends and demands.\n\nThis presentation explore s the evolving AI ecosystem and the multidisciplinary research challenges spanning compute\, memory\, storage\, networking\, scheduling\, resilience \, software\, cybersecurity\, and sustainable infrastructure. Emphasis is placed on networking as a foundational enabler of future AI systems and on the emerging research challenges in AI-native network architectures\, sca lable routing and multipath forwarding\, high-performance transport protoc ols\, network telemetry and AI-driven control\, scheduler-network co-desig n\, resilient communication and trustworthy AI networks.\n\nRecognizing th is critical need\, the IEEE Rochester Joint AESS/Communications Society Ch apter has established a Special Interest Group (SIG) on Networking for AI Infrastructure to bring together researchers\, industry leaders\, and stan dards organizations to advance the next generation of AI communication sys tems. The SIG aims to foster collaboration\, accelerate innovation\, and p articipate in standards to shape the future of communication infrastructur es not limited to the next generation of AI.\n\nSpeaker(s): Prof. Dr. Nirm ala Shenoy\, \n\nAgenda: \nPizza\n\nIntroduction of the Speaker\n\nTalk\n\ nQ&A\n\nRoom: Grand/Large Conference Room\, Bldg: Nashua Public Library\, 2 Court Street\, NASHUA\, New Hampshire\, United States\, 03060\, Virtual: https://events.vtools.ieee.org/m/571705 LOCATION:Room: Grand/Large Conference Room\, Bldg: Nashua Public Library\, 2 Court Street\, NASHUA\, New Hampshire\, United States\, 03060\, Virtual: https://events.vtools.ieee.org/m/571705 ORGANIZER:mbkazar@gmail.com SEQUENCE:11 SUMMARY:{AI Talks with Tea&Coffee #50} : Networks to Power the AI Revolutio n – The Way Forward URL;VALUE=URI:https://events.vtools.ieee.org/m/571705 X-ALT-DESC:Description: <br /><p data-removefontsize="true" data-originalco mputedfontsize="16">Abstract:</p>\n<p>The next breakthrough in artificial intelligence will be driven not only by advances in models and accelerator s\, but by innovations in communication networks. As AI systems scale from thousands to millions of distributed accelerators\, communication is rapi dly replacing computation as the primary bottleneck.</p>\n<p>AI systems de mand massive data movement demand networking architectures that provide un precedented levels of bandwidth\, ultra-low latency\, resilience\, securit y\, and energy efficiency. The network is becoming an integral part of the AI system. Today's communication infrastructures face serious challenges in scalability\, reliability\, security\, energy consumption\, operational complexity\, maintenance and management as we continue to use retrofitted technologies and solutions designed for communications and technologies t hat existed several decades ago. These limitations threaten to constrain t he future of large-scale AI training\, distributed AI inference\, and emer ging autonomous AI ecosystems. Addressing these challenges requires rethin king networking from first principles and developing architectures and tec hniques suited to AI-native traffic models and demands and workloads and t echnologies with a capability to &nbsp\;evolve with trends and demands.</p >\n<p>This presentation explores the evolving AI ecosystem and the multidi sciplinary research challenges spanning compute\, memory\, storage\, netwo rking\, scheduling\, resilience\, software\, cybersecurity\, and sustainab le infrastructure. Emphasis is placed on networking as a foundational enab ler of future AI systems and on the emerging research challenges in AI-nat ive network architectures\, scalable routing and multipath forwarding\, hi gh-performance transport protocols\, network telemetry and AI-driven contr ol\, scheduler-network co-design\, resilient communication and trustworthy AI networks.</p>\n<p>Recognizing this critical need\, the IEEE Rochester Joint AESS/Communications Society Chapter has established a Special Intere st Group (SIG) on Networking for AI Infrastructure to bring together resea rchers\, industry leaders\, and standards organizations to advance the nex t generation of AI communication systems. The SIG aims to foster collabora tion\, accelerate innovation\, and participate in standards to shape the f uture of communication infrastructures not limited to the next generation of AI.</p>\n<p>&nbsp\;</p><br /><br />Agenda: <br /><p><strong>Pizza</stro ng></p>\n<p><strong>Introduction of the Speaker</strong></p>\n<p><strong>T alk</strong></p>\n<p><strong>Q&amp\;A</strong></p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR