Researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems. In a series of image classification experiments, they ...

The deep neural network models that power today’s most demanding machine-learning applications are pushing the limits of traditional electronic computing hardware, according to scientists working on a ...

Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. The researchers at the Max Planck Institute for ...

A standard digital camera used in a car for stuff like emergency braking has a perceptual latency of a hair above 20 milliseconds. That’s just the time needed for a camera to transform the photons ...

Researchers report building photonic computing chips that use light pulses to train spiking neural networks on ...

Illustration of the neuromorphic photonic lifelong learning. The photonic connections in each optical layer are gradually activated with different tasks. Photonic neurons only lighten when activated ...

A technical paper titled “Training neural networks with end-to-end optical backpropagation” was published by researchers at University of Oxford and Lumai Ltd. “Optics is an exciting route for the ...

Researchers used deep learning techniques to enhance the image quality of a camera with a metalens integrated directly onto a CMOS imaging chip (left). The metalens manipulates light using an array of ...

Fiber-optic technology revolutionized the telecommunications industry and may soon do the same for brain research. A group of researchers from Washington University in St. Louis in both the McKelvey ...

And that could mean the rotating snakes illusion is finally explained.