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

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

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

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

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...

Data centres use huge amounts of energy and chips are in high demand – could brain cells be the answer? Australia-based start-up Cortical Labs has announced it is building two “biological” data ...

As we drove through southwest Memphis, KeShaun Pearson told me to keep my window down—our destination was best tasted, not viewed. Along the way, we passed an abandoned coal plant to our right, then ...

Artificial intelligence (AI) has become part of everyday life for many Americans – at work, at school, in health care and beyond. As AI spreads, the public remains cautious, but somewhat open to its ...

In the past two decades, marketers’ ability to target the right person or business decision-maker has gotten much better for two main reasons: the rise of the internet and social media and people’s ...