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

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 ...

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

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 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 ...

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 ...

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 ...

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, ...

The optical AI accelerator market is booming due to the rise in AI workloads, data volumes, and the demand for real-time analytics. Key opportunities include enhancing energy efficiency, advancing ...

Lumai, the optical compute company addressing scalable AI, today announced its Lumai Iris inference server – the world’s first optical computing system to successfully run billion-parameter large ...