My approach is an implementation of a string compression algorithm. The goal is to compress a character array `chars` by replacing consecutive repeating characters with the character followed by the ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

Google published a research blog post on Tuesday about a new compression algorithm for AI models. Within hours, memory stocks were falling. Micron dropped 3 per cent, Western Digital lost 4.7 per cent ...

The scaling of Large Language Models (LLMs) is increasingly constrained by memory communication overhead between High-Bandwidth Memory (HBM) and SRAM. Specifically, the Key-Value (KV) cache size ...

String algorithms make it possible to process, store, and manipulate text with computational efficiency, with applications ranging from search engines and social networks that regularly process ...

We have seen the future of AI via Large Language Models. And it's smaller than you think. That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way ...

Abstract: The Internet of Things (IoT) has become widespread in our society. It is expected that 48.6 billion IoT devices will be deployed in the field by 2034. However, this large deployment will ...