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:20260817T164019Z 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 massive data movement demand networking architectures that provide unprecedented levels of band width\, ultra-low latency\, resilience\, security\, and energy efficiency. The network is becoming an integral part of the AI system. Today's commun ication infrastructures face serious challenges in scalability\, reliabili ty\, security\, energy consumption\, operational complexity\, maintenance and management as we continue to use retrofitted techniques and protocols 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 ecosystem s. Addressing these challenges requires rethinking networking from first p rinciples and developing architectures and techniques suited to AI-native traffic models and workloads with a capability to evolve with trends and d emands.\n\nThis presentation explores the evolving AI ecosystem and the mu ltidisciplinary research challenges spanning compute\, memory\, storage\, networking\, scheduling\, resilience\, software\, cybersecurity\, and sust ainable infrastructure. Emphasis is placed on networking as a foundational enabler of future AI systems and on the emerging research challenges in A I-native network architectures\, scalable routing and multipath forwarding \, high-performance transport protocols\, network telemetry and AI-driven control\, scheduler-network co-design\, resilient communication and trustw orthy AI networks.\n\nRecognizing 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.\n\nSpeaker(s): Prof. Dr. Nirmala Shenoy\, \n\nAgenda: \nPizza\n\nIn troduction of the Speaker\n\nTalk\n\nQ&A\n\nRoom: Grand/Large Conference R oom\, Bldg: Nashua Public Library\, 2 Court Street\, NASHUA\, New Hampshir e\, United States\, 03060\, Virtual: https://events.vtools.ieee.org/m/5717 05 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:12 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>&nbsp\;</p>\n <p>AI systems massive data movement demand networking architectures that p rovide unprecedented levels of bandwidth\, ultra-low latency\, resilience\ , security\, and energy efficiency. The network is becoming an integral pa rt of the AI system. Today's communication infrastructures face serious ch allenges in scalability\, reliability\, security\, energy consumption\, op erational complexity\, maintenance and management as we continue to use re trofitted techniques and protocols designed for communications and technol ogies that existed several decades ago. These limitations threaten to cons train the future of large-scale AI training\, distributed AI inference\, a nd emerging autonomous AI ecosystems. Addressing these challenges requires rethinking networking from first principles and developing architectures and techniques suited to AI-native traffic models and workloads with a cap ability to evolve with trends and demands.&nbsp\;</p>\n<p>&nbsp\;</p>\n<p> This presentation explores the evolving AI ecosystem and the multidiscipli nary research challenges spanning compute\, memory\, storage\, networking\ , scheduling\, resilience\, software\, cybersecurity\, and sustainable inf rastructure. Emphasis is placed on networking as a foundational enabler of future AI systems and on the emerging research challenges in AI-native ne twork architectures\, scalable routing and multipath forwarding\, high-per formance transport protocols\, network telemetry and AI-driven control\, s cheduler-network co-design\, resilient communication and trustworthy AI ne tworks.</p>\n<p>Recognizing this critical need\, the IEEE Rochester Joint AESS/Communications Society Chapter has established a Special Interest Gro up (SIG) on Networking for AI Infrastructure to bring together researchers \, industry leaders\, and standards organizations to advance the next gene ration of AI communication systems. The SIG aims to foster collaboration\, accelerate innovation\, and participate in standards to shape the future of communication infrastructures not limited to the next generation of AI. </p>\n<p>&nbsp\;</p><br /><br />Agenda: <br /><p><strong>Pizza</strong></p >\n<p><strong>Introduction of the Speaker</strong></p>\n<p><strong>Talk</s trong></p>\n<p><strong>Q&amp\;A</strong></p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR