Abstract: The efficient compression of information is now a necessity for modern digital systems that handle unceasing flow of data such as video surveillance and medical imaging. Such applications ...

Hopkinsville police officers plan to run the length of Christian County — just over 30 miles — on Wednesday, April 29, to raise awareness and money for Child Abuse Prevention and Sexual Assault ...

Kevin Schug explores how molecular encoding bridges chemistry and data science to enhance precision and intelligence in analytical measurements. Molecular descriptors allow molecules to be encoded as ...

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 ...

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...

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 ...

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 ...

AI has a growing memory problem. Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 paper, TurboQuant is an advanced compression ...

Forbes contributors publish independent expert analyses and insights. I write about green energy tech that will change your life. Data centers are now driving demand growth at a pace that rivals ...