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 ...

Data science is everywhere, a driving force behind modern decisions. When a streaming service suggests a movie, a bank sends ...

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

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

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

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

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

Authentication Failures (A07) show the largest gap in the dataset: a 48-percentage-point difference between leaders and the field. Leaders fix at nearly 60%, while the field sits at roughly 12%.

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

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

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...