Machine learning implemented for quantum optics

As machine learning continues to surpass human performance in a growing number of tasks, scientists at Skoltech have applied deep learning to reconstruct quantum properties of optical systems.

Counting Antarctic penguins with AI

the British Antarctic Survey, the world's largest Emperor penguin colony has suffered unprecedented breeding issues for the past three years, is uniquely vulnerable to ongoing and projected climate change, and could virtually ...

Deep learning enables real-time imaging around corners

Researchers have harnessed the power of a type of artificial intelligence known as deep learning to create a new laser-based system that can image around corners in real time. With further development, the system might let ...

Forecast to help shellfish growers weather toxicity

The same technology that powers facial recognition and self-driving cars may soon help Maine's shellfish industry protect people from the dangerous effects of harmful algal blooms. A recent paper reports how researchers can ...

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 ...

Researchers convert 2-D images into 3-D using deep learning

A UCLA research team has devised a technique that extends the capabilities of fluorescence microscopy, which allows scientists to precisely label parts of living cells and tissue with dyes that glow under special lighting. ...

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