Image compression services use advanced algorithms and strip out unnecessary metadata (like EXIF data and GPS tags) to reduce file sizes beyond the basic compression inherent in standard file formats.

resulted in the huge volume of data acquirement ... that there is a need to achieve compression ratio greater than 30 with a PSNR greater than 25 dB for non critical applications. In order to ...

EEG’s sensitivity to depression-related brain behavior. The team’s method, the Inner Composition Alignment algorithm, results ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

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We sell different types of products and services to both investment professionals and individual investors. These products and services are usually sold through license agreements or subscriptions ...

Variance is a measurement of dispersion across a data set, comparing the difference between every other number in the set. Variance is a statistical measurement of how large of a spread there is ...

This paper presents a novel end-to-end, data driven framework for the complete reconstruction of deforming tissue volumes. This framework is a joint optimization over an undeformed tissue volume, a ...

Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...

The recent unveiling of OpenAI’s new GPT‑4o render engine brings promise for photorealistic image generation, but the ...

This is an autoencoder with cylic loss and coding parsing loss for image compression and reconstruction. Network backbone is simple 3-layer fully conv (encoder) and symmetrical for decoder. Finally it ...