Part 7/10:
Research is already in motion to harness spintronics for more than just memory. For instance, it holds the potential for probabilistic computing, which utilizes environmental noise rather than fights it, offering exciting insights into optimization problems. This approach could be well-suited for applications in AI, such as modeling visual data within diffusion-based techniques.
Moreover, advancements in spintronics might lead to developments in quantum computing, particularly in encoding information using spin-based qubits. Companies like Intel are investing in spin-qubit technologies rooted in silicon, making this approach commercially viable and scalable.