Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
A research team has developed an optical computing system for AI and machine learning that not only mitigates the noise inherent to optical computing but actually uses some of it as input to help ...
SANTA CLARA, Calif.--(BUSINESS WIRE)--Ayar Labs, the leader in chip-to-chip optical connectivity, is developing with NVIDIA groundbreaking artificial intelligence (AI) infrastructure based on optical ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
By combining a custom-built optical instrument with physics-based modeling and machine learning, the study shows that leaf-level optical properties ...
A machine learning model has been developed that makes optical spectroscopy data easier and quicker to interpret. Researchers from Rice University (TX, USA) have developed a new machine learning ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
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Scientists reduce the time for quantum learning tasks from 20 million years to 15 minutes
Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...
a.The architecture of the all-optical CNN for OAM-mediated machine learning, which can be applied to encode a data-specific image into OAM states. The photonic neural network comprises a trainable ...
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