Optical network shapes pulses of light

A team of UCLA engineers and researchers has developed a new method to shape light pulses by creating physical networks that are composed specially engineered layers. These layers are designed using deep learning and then ...

All-optical diffractive neural networks process broadband light

Diffractive deep neural network is an optical machine learning framework that blends deep learning with optical diffraction and light-matter interaction to engineer diffractive surfaces that collectively perform optical computation ...

Mobile-phone microscope detects the 'silent killer' of honey bees

Bees are among the most important species responsible for pollinating about one-third of the world's food supply, with their contribution in the United States alone valued at $15-20 billion each year. Rapid declines in honey ...

Artificial intelligence detects the presence of viruses

Many biosensing applications rely on characterization of specific analytes such as proteins, viruses and bacteria, among many other targets, which can be accomplished by using micro- or nano-scale particles. In such biosensors, ...

Deep learning democratizes nano-scale imaging

Many problems in physical and biological sciences as well as engineering rely on our ability to monitor objects or processes at nano-scale, and fluorescence microscopy has been used for decades as one of our most useful information ...

Deep learning reconstructs holograms

Deep learning has been experiencing a true renaissance especially over the last decade, and it uses multi-layered artificial neural networks for automated analysis of data. Deep learning is one of the most exciting forms ...

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