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

Studying and designing novel materials is a central application of quantum mechanics. Chemists, materials scientists, and ...

Pocket computers like Sharp’s 8-bit computing marvels were a big part of the 1980s, providing super-portable processing power to anyone who wanted a bit more than what something like a ...

Quantum computing research is evolving fast, but there a significant doubts if these devices will be relevant to the average ...

Commentary: From Xiaomi's incredible sensor and zoom lens to Samsung's fun photo filters, there's lots Apple could bring to ...

Scientists used the quipu’s data to build working spreadsheets, file systems, and encryption tools, rivaling conventional computing methods.

In 2024, as Anthropic suggested at the time, the feature wasn’t really ready for productive use — it was genuinely crazy to watch work but also slow, error-prone, and prone to quickly losing track of ...

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

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises to shrink AI’s “working memory” by up to 6x, but it’s still just a lab ...

Large-scale quantum computers are waiting in the wings. One of the main reasons we don't have them yet is because quantum ...

Being made from whiskey, a researcher said “the first step was to engage with distillery owners, build trust and convince ...

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