Part 4/10:
The shift from charge-based computation to spin-based computation promises to streamline operations in various computing forms—including classical, probabilistic, and quantum computing. The memory-storage bottleneck that plagues AI computation, where data transfer between memory and processing units is slow and inefficient, can potentially be resolved with spintronics.
The key lies in the ability to fuse memory and processing. Just as neurons in the human brain compute information seamlessly without needing to shuffle data back and forth, spin-based systems could allow data to be processed in tandem with its storage. This could lead to unprecedented speed and efficiency in computing, especially for machine learning and AI workloads.