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 ...

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

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

In a study published in Advanced Photonics, researchers at SPIE introduced a method to enhance photonic circuit adaptability without compromising compatibility with current technologies.

She went from running a dry-cleaning shop in New Jersey to quietly igniting the deep learning revolution that powers today’s ...

Recent advancements in artificial intelligence (AI) have revolutionized the application of electrocardiography (ECG) in ...

The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...

This valuable study shows that regions of the human auditory cortex that respond strongly to voices are also sensitive to vocalizations from closely related primate species. The study is ...