American Institute of Physics

Fourier transform approach quantifies the performance of spectral linear noise-reduction filters

Technique exploits the separation of noise and information when measuring the residual error with a cost functions after transform calculations convert a spectrum into a set of waves.

Mistral's Small 4 consolidates reasoning, vision and coding into one model — at a fraction of the inference cost

Mistral's Small 4 combines reasoning, multimodal analysis and agentic coding in a single open-source model with configurable ...
InfoWorld

The ‘toggle-away’ efficiencies: Cutting AI costs inside the training loop

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...
Scientific Research Publishing

A Spatio-Temporal Prediction Model for Wall Turbulence Based on Hybrid Neural Networks ()

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...