ADI

Adam Rowell | Senior Director of Edge AI

Join the ADI panel of guests as they examine what's accelerating—and what's impeding—physical AI at the edge. As robotics, humanoids, and consumer devices move from labs toward mass deployment, the question remains of how to close the gap between AI's digital promise and its physical reality. Physical AI demands real-time orchestration of multi-modal sensor streams, adaptive control, and tightly coupled compute, all under strict latency and power constraints. Co-design across sensors, actuators, and silicon is now essential. Yet the toolchains and simulation environments to train and validate such systems remain early-stage, and high-fidelity world modeling for sim-to-real transfer is still emerging. This panel brings together experts to discuss the accelerants and friction points shaping physical AI's path from prototype to production.

ADI

Cameron Villone | Senior PM, Emerging Tech Hub

Explore how ADI bridges AI with the physical world. Building Physical AI systems means integrating sensing, compute, control, and real-world constraints—often with long, risky iteration cycles. This session introduces the Emerging Tech Hub, a new operating model designed to accelerate time-to-market through rapid prototyping, sim-to-real workflows, and system-level validation. We will show how the Hub leverages ADIs robust product suite to find the right technologies for each emerging use case and simplify the iterative approach to integrate your technologies in a deployable system.