All-optical image processing has been viewed as a promising technique for its high computation speed and low power ...

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 ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Research on ONNs began as early as the 1960s. To clearly illustrate the development history of ONNs, this review presents the evolution of related research work chronologically at the beginning of the ...

Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...

In recent years, the rapid growth of artificial intelligence and the Internet of Things (IoT) has driven a surge in computational demand. Traditional electronic computing, however, is approaching its ...

For the first time, an international cadre of electrical engineers has developed a new method for photonic in-memory computing that could make optical computing a reality in the near future. The team ...

A new architecture replaces traditional bottlenecks with a passive, single-shot light-speed operation that could become the foundational hardware for AGI, scientists argue. When you purchase through ...

Co-packaged optics (CPO)—the silicon photonics technology promising to transform modern data centers and high-performance networks by addressing critical challenges like bandwidth density, energy ...

A new technical paper titled “Integrated non-reciprocal magneto-optics with ultra-high endurance for photonic in-memory computing” was published by researchers at UC Santa Barbara, University of ...