Spread the loveWhen you’re knee-deep in a fantastic design project in Adobe Illustrator, the last thing you want is for all ...

Spread the love“`html PowerPoint presentations are a staple in academic, corporate, and creative environments. While they ...

Long context AI no longer means using data centres thanks to Tether acting swiftly on groundbreaking research from Google.

Google's TabFM skips per-dataset training and still predicts on unseen tables, matching tuned baselines and cutting pipeline ...

Could pure AI encoding reinvent compression and make traditional codecs obsolete? Monica Heck examines what the future might look like in the encoding space ...

Even before mobile phones started taking photos everywhere, digital images suffered from a very simple problem. They looked ...

Google has unveiled TurboQuant, a new AI compression algorithm that can reduce the RAM requirements for large language models by 6x. By optimizing how AI stores data through a method called ...

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.” ...

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 ...

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 ...