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AI-designed diffractive optical processors pave the way for low-power structural health monitoring
A team of researchers at the University of California, Los Angeles (UCLA) has introduced a novel framework for monitoring ...
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Photonic chips advance real-time learning in spiking neural systems
Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...
This important study demonstrates that a peri-nuclear actomyosin network, present in some types of human cells, facilitates kinetochore-spindle attachment of chromosomes in unfavorable locations - ...
Drosophila mojavensis, and propose that sleep at one stage of an animal's life might anticipate needs at a future stage. The results fit well with this model, but are correlative in nature. The work ...
What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
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