Making Physical AI a Reality Through Real-Time Edge Computing

The world's largest industries are poised to embrace physical AI. The challenge comes with necessity to understand multimodally in real time. The entire sensor AI processing needs to be accelerated. Developers now can tackle edge AI challenges by seamlessly integrating sensor data, accelerated computing, real-time visualization/actuation, and AI inferencing — all while it abstracts away complexities for developers and reduces time-to-market.

We'll feature cross-industry use cases including medical surgical robotics, brain-computer interface, semiconductor defect detection, and high-bandwidth sensor processing at scientific computing to demonstrate real-world physical AI applications. Cross-industry use cases will demonstrate real-world physical AI applications and sensor processing problems from model training and simulation to edge computing.