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Study of 200 million crypto transfers finds two token types spread differently

For years, Washington has been debating who gets to regulate cryptocurrency. The Securities and Exchange Commission (SEC) ...
Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

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 ...

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

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

Tokens becoming key to woo top AI talent

Jiang added that token availability is becoming an important factor in attracting AI talent. "For core roles such as ...

From Assets to Algorithms: How Tokenization Powers Subtle Crypto Banking

How is tokenization powering subtle crypto banking? Learn how banks use blockchain and algorithms to digitize real-world assets, improving liquidity and security.