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 ...

Spread the loveIn a remarkable advancement that might reshape the future of artificial intelligence, researchers have unveiled a new optical training approach designed for large-scale deep learning ...

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 ...

Modern artificial intelligence (AI) faces critical challenges in energy consumption and processing latency due to the inherent limitations of electronic processors. Optical computing has emerged as a ...

For nearly 80 years, modern computing has depended on electrons rushing through circuits. This ...

Iris Nova runs real-time inference on Llama 8B and 70B using a hybrid processor. The hybrid architecture combines digital ...

For decades there has been near constant progress in reducing the size, and increasing the performance, of the circuits that power computers and smartphones. But Moore’s Law is ending as physical ...

For the past decade, quantum computing has struggled to balance promise and practicality. While the world’s most advanced systems remain engineering marvels, they’re bedeviled by the same flaw: the ...

Researchers have cracked a fundamental optical challenge: how to control both angle and wavelength of light independently—a problem that’s limited imaging and display technologies for years. By ...

Julian is a contributor and former staff writer at CNET. He's covered a range of topics, such as tech, crypto travel, sports and commerce. His past work has appeared at print and online publications, ...