The global push towards renewable energy adoption is driving the need for efficient and cost-competitive energy storage and ...

New photonic chip technology processes deep neural networks using light, achieving 96% accuracy during training with minimal ...

ClassNK has released "ClassNK Technical Journal No.10 2024 (II)", providing a comprehensive overview of the latest trends and its activities on key topics such as GHG regulations, alternative fuels’ ...

Incorporating NT-proBNP, a biomarker for heart failure, into traditional risk prediction models for AF may enhance early ...

A new photonic chip designed by MIT scientists performs all deep neural network computations optically, achieving tasks in ...

We’re getting new advances in processing to complement all of the important things that LLMs and AI agents are doing.

However, for nonlinear functions, the processes relied on electronic hardware again. “Nonlinearity in optics is quite challenging because photons don’t interact with each other very easily ...

Nonlinear optics is the study of how intense light interacts with matter. The optical response of a material usually scales linearly with the amplitude of the electric field. At high powers ...

Abstract: Fiber nonlinearity is a significant constraint on the maximum achievable capacity in long-distance fiber optic transmission systems. The fiber nonlinearity compensation can be done in ...

Linear models are simple and easy to interpret, but they may not capture the complexity and nonlinearity of some phenomena. Before delving into nonlinear models and training your neural networks ...