So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
Abstract: Spectral pixels are often a mixture of the pure spectra of the materials, called endmembers, due to the low spatial resolution of hyperspectral sensors, double scattering, and intimate ...
Abstract: Compressive sensing (CS) has been intensively studied as a super-resolution technique in image acquisition and reconstruction. It has also been introduced into three-dimensional (3-D) laser ...
LivecellX is a comprehensive deep learning framework for live-cell image analysis, enabling researchers to segment, track, and analyze single-cell trajectories in high-throughput imaging datasets.