Machine vision systems are becoming increasingly common across multiple industries. Manufacturers use them to streamline quality control, self-driving vehicles implement them to navigate, and robots ...

In future high-tech industries, such as high-speed optical computing for massive AI, quantum cryptographic communication, and ...

Machine learning and nanophotonics combine to enable fast, energy-efficient computing and sensing with potential for transformative AI-driven technologies. Fueled by metasurfaces and integrated ...

Demos include PC-based and FS42 camera-based deep learning optical character recognition, deep learning anomaly detection on the newly launched Zebra NS42 camera (Credit: Zebra) Machine vision, edge ...

Until now, researchers have been limited in developing photonic memory for AI processing -- gaining one important attribute like speed while sacrificing another like energy usage. An international ...

China’s optical AI hardware demonstrates massive efficiency leaps in lab tests, challenging conventional GPU performance in ...

A new method significantly advances 3D imaging of reflective surfaces. The approach integrates techniques known from high-precision optical 3D metrology and computer vision, and could benefit ...

DUBLIN--(BUSINESS WIRE)--The "The Global Market for Optical Computing 2025-2035" report has been added to ResearchAndMarkets.com's offering. The Global Market for Optical Computing 2025-2035 offers an ...

Imagine a computer that does not rely only on electronics but uses light to perform tasks faster and more efficiently. A collaboration between two research teams from Tampere University in Finland and ...

Figure 1. Ultra-high parallel optical computing integrated chip - "Liuxing-I". High-detail view of an ultra-high parallelism optical computing integrated chip – “Liuxing-I”, showcasing the packaged ...