Agentic AI is transforming compute architecture with new demands on data flow, hardware, and AI retail systems for faster decision-making.

Moreover, we develop a hybrid quantum double deep Q-learning (DDQN) approach to optimize the edge cloud selection. This novel deep reinforcement learning architecture enables that classical and ...

However, deploying CNN models onto these computational image sensors faces challenges from the limited on-chip memory resources and insufficient image processing throughput. This work proposes a ...

When connected in parallel, these two technologies complement each other in terms of power characteristics and temperature adaptability, optimizing the performance of the hybrid energy storage system.