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 ...

Given the inherent nonlinearity of spacecraft dynamics, traditional control design approaches encounter significant challenges. To address this issue, we propose the utilization of the offline ...

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.

The cooling medium will be affected by the disturbance effect, turbulence effect and local pressure change in the flow process, which makes the convective heat transfer coefficient have the ...

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 ...