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...
Key Takeaways
- 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
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
Original Publisher Attribution
This summary was curated from ScienceDaily.