Real-time AI at the edge is crucial for medical, industrial, and scientific computing because these mission-critical applications require immediate data…
Real-time AI at the edge is crucial for medical, industrial, and scientific computing because these mission-critical applications require immediate data processing, low latency, and high reliability to ensure timely and accurate decision-making. The challenges involve not only high-bandwidth sensor processing and AI computation on the hardware platform but also the need for enterprise-level AI…
