One of the biggest obstacles to fully optical computing has been the lack of a fast, scalable photonic memory cell. Researchers at the University of Wisconsin-Madison have demonstrated what they are ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...

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

Lumai, a spin-out from the UK's University of Oxford working on a radical optical computing approach to artificial intelligence (AI) that goes beyond integrated photonics, says it has secured venture ...

The global optical computing market is poised for exponential growth driven by the convergence of AI bandwidth demands, photonic quantum computing, and the maturation of silicon photonics. Key ...

Oxford-based Lumai has launched the world’s first optical computing system that can run a ...

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 ...

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...

Researchers at the UCLA Samueli School of Engineering, in collaboration with the Optical Systems Division at Broadcom Inc., reported a broadband, polarization-insensitive unidirectional imager that ...

Lumai has unveiled what it describes as the world’s first optical computing system capable of running a billion parameter ...