Efficient machine learning inference is essential for the rapid adoption of artificial intelligence (AI) across various domains. On-chip optical computing has emerged as a transformative solution due ...

Optical computing holds promise for high-speed, energy-efficient information processing, with diffractive optical networks emerging as a flexible platform for implementing task-specific ...

Studying physics can be very useful—even when it comes to machine learning. A digital "super-brain" with built-in knowledge of the fundamental laws of nature can speed up the development of optical ...

A machine learning model has been developed that makes optical spectroscopy data easier and quicker to interpret. Researchers from Rice University (TX, USA) have developed a new machine learning ...

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 ...

Researchers in Sweden have developed a machine-learning approach that embeds the laws of physics directly into neural ...

A quick optical biopsy using optical coherence tomography (OCT) may improve endometrial cancer screening, according to a study published online June 3 in npj ...

Detecting gas molecules through light scattering is fundamentally limited by weak signals and environmental noise. To address this, researchers ...

A research team led by The Chinese University of Hong Kong (CUHK) has developed a novel integrated all-optical signal processor (OSP) to address the massive data transmission demands of ...

By Beth MillerEndometrial cancer is the most common gynecologic cancer, with more than 69,000 cases diagnosed in the U.S. in 2025 and increasing up to ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...