A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way less data center ...

Google LLC has unveiled a technology called TurboQuant that can speed up artificial intelligence models and lower their ...

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

The 10-day selloff reflects investor concern that one of the industry's most powerful tailwinds may not prove as strong as ...

Every second, scientific experiments produce a flood of data—so much that transmitting and analyzing it can slow down even ...

All you had to do was pay attention to the polar coordinates lecture in [trigonometry], and you could have discovered a 6x ...

Alphabet’s (GOOGL) introduction of TurboQuant, a new compression algorithm designed to reduce memory requirements in large ...

Intel's Core Ultra 5 250K Plus fixes what the 200 series got wrong, delivering blistering productivity performance and ...

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...