Google introduces TurboQuant, cutting LLM memory usage by 6x with no accuracy loss

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

Google reveals algorithms to address AI memory challenges; memory and storage stocks drop

Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.
GitHub

LEAP: Evolutionary Algorithms in Python

LEAP is a general purpose Evolutionary Computation package that combines readable and easy-to-use syntax for search and optimization algorithms with powerful distribution and visualization features.
IEEE

Method and Algorithm of Successive Approximation Analog-to-Digital Conversion of Information in Management Systems

Abstract: Modeling methods and algorithms for analog-to-digital conversion of information in control systems are significant components in the development and design of devices for analog signals ...