Intel and Nvidia showed off their respective AI-powered texture-compression technologies over the weekend, demonstrating impressive reductions in VRAM use while maintaining texture quality, or even ...
The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...
Turbulence is a fundamental process in a wide range of natural and laboratory systems. Experiments and observations often measure projected images of tracers in turbulent flows. Because the underlying ...
Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI methods face two ...
The experimental ultrasound data is always trained by measurement errors, internal and external noise. For this reason, it is always necessary to apply some signal processing operations, such as ...
In the course of MAT204: Linear Algebra, I along with my group partners explored the issue of low complex 2D Image Compression using the Haar Wavelets as the basis function, and also calculated the ...
Imagine working with special cameras that capture light your eyes can’t even see—ultraviolet rays that cause sunburn or infrared heat signatures that reveal hidden writing. Or perhaps using ...
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