Semiconductor industry pushes processing-in-memory for edge AI inference

The shift toward AI inferencing at the edge and physical AI is driving the semiconductor industry to rethink memory architectures by moving compute closer to data through processing-in-memory and processing-near-memory approaches. Industry experts note that while these hardware solutions significantly reduce data movement, latency, and power consumption, major barriers remain in software support, compiler frameworks, standardization, and thermal management. Open article →