Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

Photons are fast, stable, and easy to manipulate on chips, making photonic systems a promising platform for QCNNs. However, photonic circuits typically behave linearly, limiting the flexible ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

A new AI dataset teaches machines to smell by associating smell data with images, letting models match odors to objects, ...

The future of computing has arrived in a flash, literally. In A Nutshell Researchers created a computer that performs complex AI calculations by sending laser light through optical elements once, ...

By studying the theoretical limits of how light can be used to perform computation, Cornell researchers have uncovered new ...

Inflammatory bowel disease requires close monitoring to detect flare-ups early and guide treatment.1,2 While endoscopy is the ...

K machine promises performance that can scale to 32 chip servers and beyond but immature stack makes harnessing compute ...