School of Engineering
Redefining Energy Efficiency: 2D Semiconductor with 1,000 Transistors
Unlock new possibilities in data-processing with the revolutionary two-dimensional molybdenum disulfide processor from the EPFL LANES team. A processor dedicated to vector-matrix multiplication, perfect for AI accelerators and more, with the potential to reduce energy consumption and revolutionize data-processing.
Nov 14, 2023 // Technology, efficiency, EPFL, School of Engineering, Laboratory of Nanoscale Electronics and Structures, LANES
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