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Power/Performance Bits: July 31


Training optical neural networks Researchers from Stanford University used an optical chip to train an artificial neural network, a step that could lead to faster, more efficient AI tasks. Although optical neural networks have been recently demonstrated, the training step was performed using a model on a traditional digital computer and the final settings were then imported into the optical... » read more

Power/Performance Bits: Dec. 23


GaN building blocks A team of engineers from Cornell University, the University of Notre Dame, and the semiconductor company IQE created gallium nitride (GaN) power diodes capable of serving as the building blocks for future GaN power switches. In spite of having many desirable features as a material, GaN is notorious for its defects and reliability issues. So the team zeroed in on device... » read more