A new Andreessen Horowitz profile reveals the five-step process behind SpaceX’s Raptor 3 engine. The sequence exposes a fatal ...

I'll be buying discs from now on, thank you very much ...

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

USC is celebrating America's 250th anniversary with animated digital stamps honoring unsung heroes of computing. These stamps ...

Chips&Media Signs Next-Gen 'AV2' Video IP Licensing Deal with North American Big Tech, Strengthening Global Standards Leadership ...

Most people can name the founders of Apple, Microsoft, Meta or Tesla. Fabrice Bellard remains largely unknown outside programming circles despite creating software that helps power much of the modern ...

"Optimization demands understanding hardware constraints at the silicon level," reflects Shaibujan Thankappan Kamalamma, whose career spans video codec work, streaming systems, and enterprise security ...

You don’t notice good video compression—until it’s not there. For years, people have streamed high-resolution video without thinking about the tech behind it. But when companies clash over which ...

TurboQuant is a compression algorithm introduced by Google Research (Zandieh et al.) at ICLR 2026 that solves the primary memory bottleneck in large language model inference: the key-value (KV) cache.

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 ...