Abstract: Reinforcement Learning is a branch of machine learning to learn control strategies that achieve a given objective through trial-and-error in the environment ...

Abstract: The analysis of high-dimensional tensor data presents significant challenges for traditional methods such as CANDECOMP/PARAFAC (CP) decomposition and Higher-Order Singular Value ...

This repository provides the official implementation of QSVD, a method for efficient low-rank approximation that unifies Query-Key-Value (QKV) weight compression in low-precision Vision-Language ...

This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...

Artificial intelligence and its effects on society were omnipresent topics this year, particularly amid a chaotic job market. According to CNN, the use of AI in hiring could be exacerbating lengthy, ...

An international team of researchers has discovered a new method to fight cancers that no longer respond to treatment. The team led by Israel's Weizmann Institute of Science used mutations that make ...

Given the current state of practice and visions for the future (including AI), certain practices should be reevaluated. This ...

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The IOC made recommendations for recording and reporting epidemiological data on injuries and illness in sports in 2020, but with little, if any, focus on female athletes. Therefore, the aims of this ...