Events

Artificial intelligence is expanding human capability at an extraordinary pace. But technology is only half the story. As capability accelerates, our capacity to understand, govern, and responsibly apply it must keep pace. Drawing on historical perspective, decades of technology leadership and experience, and a new framework called Balanced Growth , this talk asks a simple question: can we grow our stewardship capacity fast enough to match our technological power? Speaker(s): John, Agenda: 4:30 - Introductions 4:40 John Daniels Presentation 5:30 Questions Room: Classroom, Bldg: Main Enterance, 50 Woodmont Ave, Londonderry, New Hampshire, United States, 03053, Virtual: https://events.vtools.ieee.org/m/571734

Artificial intelligence is expanding human capability at an extraordinary pace. But technology is only half the story. As capability accelerates, our capacity to understand, govern, and responsibly apply it must keep pace. Drawing on historical perspective, decades of technology leadership and experience, and a new framework called Balanced Growth , this talk asks a simple question: can we grow our stewardship capacity fast enough to match our technological power? Speaker(s): John, Agenda: 4:30 - Introductions 4:40 John Daniels Presentation 5:30 Questions Room: Classroom, Bldg: Main Enterance, 50 Woodmont Ave, Londonderry, New Hampshire, United States, 03053, Virtual: https://events.vtools.ieee.org/m/571587

IEEE Reliability Society- Joint Boston/New Hampshire/Providence Chapter ADCOM meeting. Zoom Link Speaker(s): , , , Agenda: Agenda - Call to Order at 6pm - Opening Remarks by the Chair - Officer Reports - ADCOM Meeting Minutes: approval from previous meeting - Financials - Technical Meeting Schedule - Potential Tech Meeting Presentations - Newsletter Updates - Website Status - Further discussion of moving forward with social media presence, content creation - Upcoming Technical Meeting Registration - Secretary - Treasurer - Vice Chair - Webmaster & Social Media - Chair Report - Old Business - New Business - Schedule Next ADCOM Meeting - Closing Remarks - Adjournment Virtual: https://events.vtools.ieee.org/m/571302

Abstract: The next breakthrough in artificial intelligence will be driven not only by advances in models and accelerators, but by innovations in communication networks. As AI systems scale from thousands to millions of distributed accelerators, communication is rapidly replacing computation as the primary bottleneck. AI systems demand massive data movement demand networking architectures that provide unprecedented levels of bandwidth, ultra-low latency, resilience, security, 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 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 from first principles and developing architectures and techniques suited to AI-native traffic models and demands and workloads and technologies with a capability to evolve with trends and demands. This presentation explores 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, scalable routing and multipath forwarding, high-performance transport protocols, network telemetry and AI-driven control, scheduler-network co-design, resilient communication and trustworthy AI networks. Recognizing this critical need, the IEEE Rochester Joint AESS/Communications Society Chapter has established a Special Interest Group (SIG) on Networking for AI Infrastructure to bring together researchers, industry leaders, and standards organizations to advance the next generation 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. Speaker(s): Prof. Dr. Nirmala Shenoy, Agenda: Pizza Introduction of the Speaker Talk Q&A 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

This event will be hybrid, but we encourage in-person attendance. Registration is free, but is required so that we can plan pizza, salad, and beverages. When arriving Wednesday evening, please be prepared to show a government-issued photo ID, such as a drivers license, at the main gate at Wood Street. State that you are attending the IEEE Reliability meeting in the Main Cafeteria. After parking, walk towards the main building near the flagpole. Before entering, look left, and walk down the steps. At the bottom of the steps, turn right. Walk straight through the double set of double doors and straight into the Main Cafeteria. Looking forward to seeing you in person! Dan Weidman Chair, IEEE Boston Reliability Chapter Speaker(s): Olga Koroleva Agenda: 5:00 pm doors open, for networking. Arriving earlier is ok. 5:30 pm: Pizza, salad, and beverages arrive, while networking continues. 6:00 pm: Introduction to the presentation, followed by the formal presentation. Between 7 and 7:30 pm: Formal presentation and formal Q&A end. 8:00 pm: Informal Q&A and networking end. Bldg: Main Cafeteria, MIT Lincoln Laboratory, 244 Wood St, Lexington, Massachusetts, United States, 02421, Virtual: https://events.vtools.ieee.org/m/566562

Monthly New Hampshire Section ExCom Meeting Airport Dinner, 2280 Brown Avenue, Manchester, New Hampshire, United States, 03106