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Google’s TurboQuant Algorithm Slashes LLM Memory Use by 6x

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
IEEE

Reversible Data Hiding in Encrypted Images with Hybrid Encoding and Bitstream Rearrangement

Abstract: Reversible data hiding in encrypted images (RDHEI) has become increasingly important for cloud storage and privacy protection. However, striking a balance between embedding capacity and ...
IEEE

Revolutionizing Image Processing with Quantum Algorithms: Encoding, Enhancement and Recognition

Abstract: Quantum image processing uses quantum computing, which implements the concepts of entanglement and superposition to increase efficiency, scalability, and revolutionary promise in demanding ...