Vienna startup Ora Computing raised €3.5M and proved a 70-billion-parameter large language model can be compressed for under ...

This is the official implementation of our paper GaussianImage, a groundbreaking paradigm of image representation and compression by 2D Gaussian Splatting. With compact 2D Gaussian representation and ...

The standard way to store 10 million document embeddings in float32 consumes 31 GB of RAM. That's not a miscalculation. That's the reality of 1,536-dimensional vectors at four bytes per dimension, ...

We found that removing error correction from a compression algorithm makes it better. That sounds wrong, so let me explain. Think of spell-check. Running spell-check ...

TurboQuant is a compression algorithm introduced by Google Research (Zandieh et al.) at ICLR 2026 that solves the primary memory bottleneck in large language model inference: the key-value (KV) cache.

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Hundreds of petabytes are produced annually at weather and climate forecast centers worldwide. Compression is essential to reduce storage and to facilitate data sharing. Current techniques do not ...