Why can some messages be compressed while others cannot? This video explores Huffman coding and Shannon’s concept of entropy, showing how probability and information theory determine the ultimate ...

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

Google LLC has unveiled a technology called TurboQuant that can speed up artificial intelligence models and lower their ...

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

Researchers have developed a holographic data storage approach that stores and retrieves information in three dimensions by ...

A reporting team used stats, R coding, and new datasets to investigate why U.S. overdose deaths declined unevenly, showing ...

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

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way less data center ...

Claude Code’s new AutoDream feature consolidates project memory, removes duplicates, and can be triggered manually with the ...