Abstract: TBA

Bio: TBA

Abstract: Agentic AI is driving higher token volumes and compute infrastructure demands. At the same time, advances in both model efficiency and hardware mean capabilities that recently required datacenter-hosted models can increasingly run on edge devices.

This talk examines how these trends are reshaping where intelligence executes. We will discuss the benefits of intelligence distributed across datacenters, edge infrastructure, and endpoint devices, with workloads dynamically routed according to capability, latency, cost, privacy, and energy constraints - with the goal of AI systems that combine frontier-scale intelligence with rich local context, bringing together the strengths of both datacenter and edge computing.

Bio: Dominic Pajak is senior director of edge AI at Arm, where he focuses on shifting AI inference closer to data and users, enabling new classes of private, real-time, context-aware applications while reducing energy and system costs. He works with leading semiconductor partners and device vendors on solutions that balance performance, power, and cost, and has launched products now shipping in billions of units. At Arduino, he worked to accelerate on-device AI education and innovation through work with Google and Harvard University. Dominic holds a PhD in Computer Science from the University of Leeds, UK.