Programmable optical particle transport based on structured light plays a crucial role in microscale manipulation. Scientists ...

Figure 1: Schematic illustration of Anti-Interference Diffractive Deep Neural Network. The network can classify handwritten digits (0-5) in multi-object scenarios, including intra-class interference, ...

Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our ...

The rapid development of technologies such as the Internet, mobile communications, and artificial intelligence has dramatically increased the demand for high-capacity communication systems. Among ...

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 ...

These multiple optical paths improve the system's ability to extract features from input data, offering a new way to optimize neural networks beyond just adding more layers or tweaking activation ...

Optical neural networks may provide the high-speed and large-capacity solution necessary to tackle challenging computing tasks. However, tapping their full potential will require further advances. One ...

Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance. However, in new research I have used a phenomenon called “quantum tunnelling” to ...