Journal of Medical Internet Research

Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study

The cohort was randomly divided into training and testing datasets in a 7:3 ratio, and multiple ML techniques were used to develop an algorithm for optimizing initial vancomycin dosing. The optimal ...
TechCrunch

Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
Ars Technica

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

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...
IEEE

Dual-Gate 2T0C Gain Cell for Multi-Bit Input Vector-Matrix Multiplication in-Memory Computing

Abstract: In this work, one novel dual-gate 2T0C is proposed for multi-bit input vector-matrix multiplication (VMM) in in-memory computing (IMC). Unlike the existing pulse-width modulation (PWM) ...
IEEE

Experimental Study of DNS Parallel Matrix Multiplication Algorithm

Abstract: Matrix multiplication is one of the most basic and important operation in many computation applications, which comes with high time complexity. Several parallel algorithms have been proposed ...