AI is rapidly transforming industries, but as these technologies evolve, so does their demand for power. To sustain further advancements, AI chips must become more energy efficient.
This is where spintronic devices come in. By integrating memory and computing functions—similar to how the human brain operates—they offer a promising foundation for low-power AI chips.
Now, researchers from Tohoku University, the National Institute for Materials Science, and the Japan Atomic Energy Agency have developed a groundbreaking spintronic device. This new technology enables the electrical mutual control of non-collinear antiferromagnets and ferromagnets, allowing for efficient switching of magnetic states. In practical terms, it can store and process information using significantly less energy, much like a brain-inspired AI chip.
This breakthrough could pave the way for a new generation of AI hardware that is both highly efficient and energy-saving. The findings were published in Nature Communications on February 5, 2025.
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