A breakthrough in magnetism could make AI chips use dramatically less energy
ScienceDaily reports that researchers at Brown University have developed a technique that addresses the "dead layer" problem, in which certain materials stop working when made extremely thin. According to the outlet, the method preserves the materials' electrical and magnetic properties at nearly atomic thicknesses and also enhances their magnetic capabilities. ScienceDaily says the work could help lead to ultra-low-power computer chips that reduce the energy demands of AI.
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A breakthrough in magnetism could make AI chips use dramatically less energy
Researchers at Brown University have overcome a major obstacle to creating ultra-low-power computer chips that could help slash the energy demands of AI. Their breakthrough eliminates a long-standing "dead layer" problem that causes promising materials to stop working when made extremely thin. Remarkably, the new technique not only preserves the materials' electrical and magnetic properties at nearly atomic thicknesses but also gives them enhanced magnetic capabilities
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