The currents of the oceans, the roiling surface of the sun, and the clouds of smoke billowing off a forest fire—all are ...
The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in ...
With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
Tahoe Therapeutics - a biotech start-up based in San Francisco, California - is creating the largest ever atlas of ...
Abstract: Sparse arrays have gained increasing research attention due to their potential to reduce system cost and weight. However, current studies on sparse array synthesis often overlook the ...
Abstract: Maritime ship detection is an essential prerequisite for targeting key objectives and safeguarding the security of territorial waters. The all-day and all-weather operational capability of ...
Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model, MICCAI 2024. [arXiv] In clinical practice, tri-modal medical image fusion, compared to the existing ...