These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 ...

Numberphile revived an ancient multiplication trick—halves and doubles—also called Egyptian or Russian math, where you repeatedly halve one number and double the other. After crossing out rows with ...

My soulmate fell in love with my roommate. It took me years to figure out what happened. The Social Security retirement age rises close to average life expectancy The latest: Former Trump aides appear ...

NTT Research, Inc., a division of NTT (TY;9432), today announced that members of its Physics & Informatics (PHI) Lab, in ...

In the attention-based pooling section at exp_long_term_forecasting.py#L569C20-L569C85, the attention scores are computed by: One would a expected a linear layer mapping the initial forecasting models ...

Background: Hyperglycemia is common in critically ill patients and is an independent risk factor for in-hospital morbidity and mortality. Objective: To assess compliance with a paper-based, ...

An opinion piece by Professor Camilla Gilmore and Natasha Guy, of Loughborough University's Department of Mathematics Education, and Professor Lucy Cragg, of the University of Nottingham. What’s seven ...

Once the domain of esoteric scientific and business computing, floating point calculations are now practically everywhere. From video games to large language models and kin, it would seem that a ...

Abstract: In this paper, we propose a novel construction for secure distributed matrix multiplication (SDMM) based on algebraic geometry (AG) codes, which we call the PoleGap SDMM scheme. The proposed ...