Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in which the probabilities of tokens occurring in a specific order is ...

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 ...

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large-scale artificial intelligence inference: the growing mismatch between the ...

Like the device you’re probably reading this on, sometimes our brains need a hard reset or update to keep our software running bug-free. For humans, that’s sleep. Aside from being necessary for our ...

Graphics Cards Best graphics cards in 2026: I've tested pretty much every AMD and Nvidia GPU of the past 20 years and these are today's top cards Graphics Cards My real-world testing shows 8 GB GPUs ...

In an effort to work faster, our devices store data from things we access often so they don’t have to work as hard to load that information. This data is stored in the cache. Instead of loading every ...

Say you’ve been tasked with memorizing the U.S. presidents in order. Your mind turns to an unlikely place: your childhood bedroom. A beloved stuffed bear sits on a bookshelf—its tiny shirt sports the ...

Memory chips are a key component of artificial intelligence data centers. The boom in AI data center construction has caused a shortage of semiconductors, which are also crucial for electronics like ...

Tech companies have raced to build out compute capacity to fuel their AI ambitions but are now faced with a new bottleneck: memory capacity. The crunch comes as workloads shift from training models to ...