Your budget SSD only feels fast because a tiny SLC cache is hiding the painfully slow memory chips ...

Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

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 ...

Broadcom CEO Hock Tan sees AI chip revenue in 2027 "significantly in excess of $100 billion" as demand for custom silicon chips grows. Tan managed to convince investors that Broadcom has a sustainable ...

Snowbirds and spring breakers are among us in Florida’s Friendliest Hometown and they may not be aware of some of the rules and etiquette of the unique transportation system here in The Villages. It’s ...

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...

The Ukrainian flag bearer’s disqualification from skeleton over a helmet featuring athletes killed in the war with Russia is yet another example of how politics and the Olympics cannot be separated.

Part Two: Tommy Witherspoon recalls covering the raid and 51-day standoff at the Branch Davidian compound.

Memory giants Micron, SK Hynix and Samsung have led a rally in semiconductor stocks this year. Memory prices surged in 2025 and are likely to increase further in 2026 as demand for these chips which ...

If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: with firewalls, audits, and access privileges. The pace at which large ...