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

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 ...

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 ...

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 ...

New initiative aimed at developing optical computing technologies to overcome the performance and energy limitations of traditional electronic architectures New York, NY, March 18, 2026 (GLOBE ...

Advance could pave the way for optical transistors and memory for optical computing. (Nanowerk News) A research team co-led by Lawrence Berkeley National Laboratory (Berkeley Lab), Columbia University ...

With the exponential growth in demand for high-speed data transmission, the 5G system infrastructure, despite its impressive peak data rate of 10 gigabits per second, is increasingly inadequate for ...

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 ...

Ottawa-based deep-tech startup Hyperlume is poised to disrupt the landscape of AI and high-performance computing with its innovative optical interconnect solutions. The company is tackling the growing ...

A new technical paper titled “Optical next generation reservoir computing” was published by researchers at Sorbonne Université, CNRS, Tsinghua University, University of Hong Kong, and University of ...