Surgical robotics platforms are becoming more compute intensive as real-time control, high-resolution vision, AI inference, visualization, and data capture increasingly operate at the same time.
In this technical webinar, ADLINK and Intel will examine how to architect these concurrent workloads without compromising deterministic control, surgical-video latency, synchronization, thermal performance, or system reliability.
Using the surgical workflow as the framework, the session will follow data from image capture and robot control through AI-assisted visualization and synchronized procedure data. The speakers will also discuss how heterogeneous compute resources — including CPU, GPU, NPU, networking, and expandable acceleration — can be applied to different workloads, and where workload consolidation can reduce system complexity.
Architecting Next-Generation Surgical Robotics: Real-Time Control, Vision & AI
Ampro ADLINK Technology
Architecting Next-Generation Surgical Robotics: Real-Time Control, Vision & AI
Duration:
60 minutes
Dates and locations:
Available On Demand Until December 15, 2027
