It works like magic, but won't renew your old 8GB card's lease on life ...

New K cache format: polar-coordinate storage with content/position separation and analytical tangent residual correction. Beats f16 on math reasoning while preserving Korean prose quality. Environment ...

Paying for 4k and tools for Netflix doesn't guarantee a great stream, unfortunately, thanks to some behind-the-scenes ways ...

Abstract: Data-driven fault diagnosis methods for complex systems, based on machine learning and deep learning, have shown competitive performance. However, these parameterized approaches face two ...

This repo is the official implementation of the paper "RAWIC: Bit-Depth Adaptive Lossless Raw Image Compression" (ICME 2026). Figure 1: The proposed pipeline of our model. Figure 2: The performance of ...

Abstract: This paper designs a lossless compression scheme based on interferogram shape for 3D datacubes from the Geostationary Interferometric Infrared Sounder (GIIRS). According to the features of ...

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 ...

Google said this week that its research on a new compression method could reduce the amount of memory required to run large language models by six times. SK Hynix, Samsung and Micron shares fell as ...

Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...

Google published a research blog post on Tuesday about a new compression algorithm for AI models. Within hours, memory stocks were falling. Micron dropped 3 per cent, Western Digital lost 4.7 per cent ...

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...