Google's TurboQuant algorithm can cut AI memory needs by 6x, having the potential to fix the global RAM crisis and change the ...
The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...
That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way less data center ...
Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...
Abstract: A novel direct method for electromagnetic scattering analysis is introduced by enhancing the principal component analysis (PCA) compression algorithm with the multilevel fast multipole ...
Abstract: Consider the case where consecutive blocks of N letters of a semi-infinite individual sequence X over a finite alphabet are being compressed into binary sequences by some one-to-one mapping.
Every day humanity creates billions of terabytes of data, and storing or transmitting it efficiently depends on powerful compression algorithms. This video explains the core idea behind lossless ...