Recent breakthroughs in deep learning have been fueled by powerful computers, yet their reliance on energy-intensive hardware limits further miniaturization. All-optical computing, which uses light ...

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, ...

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 ...

A team of researchers at the University of California, Los Angeles (UCLA) has introduced a novel framework for monitoring structural vibrations using diffractive optical processors. This new ...

Layered metasurfaces trained as optical neural networks enable multifunctional holograms and security features, integrating neural computation principles with nanostructured optics to create a ...

(Nanowerk Spotlight) In the age of big data, we are generating more images than we can actually process. Autonomous vehicles, medical scanners, and quality control systems rely heavily on ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Subscribe to our ...