Investopedia

Understanding Shareholder Letters: Purpose, Functions, and Examples

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Frontiers

Modelling minimum night consumption as a function of long-run average outflow to users and applications to real world case studies

1 Dipartimento di Ingegneria Civile e Architettura, Università degli Studi di Pavia, Pavia, Italy 2 Dipartimento di Ingegneria, Università degli Studi di Ferrara, Ferrara, Italy As accurate monitoring ...
Investopedia

What Are Cryptographic Hash Functions?

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Amilcar has 10 years of FinTech, blockchain, ...
IEEE

Invariance-Preserving Localized Activation Functions for Graph Neural Networks

Abstract: Graph signals are signals with an irregular structure that can be described by a graph. Graph neural networks (GNNs) are information processing architectures tailored to these graph signals ...
Frontiers

Moderate alcohol consumption does not protect cognitive function when controlling for income and cultural factors

Introduction: Alcohol consumption is commonly considered to be a modifiable risk factor in cognitive decline. However, numerous studies have found an association between light to moderate consumption ...
C&EN

Proposing a Method Using Graph Attention Networks for Predicting Water Injection and Energy Consumption: A Case Study of a Surface Oil and Gas Gathering Station in Jilin Oilfield

National engineering Research Center of Oil and Gas Pipeline Transportation Safety/MOE Key Laboratory of Petroleum Engineering/Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, ...
marktechpost

GraphIC: A Novel Machine Learning Approach that Leverages Graph-based Representations of Reasoning Processes Coupled with Bayesian Networks (BNs) to Select In-Context Examples ...

In-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in the input without updating their parameters. However, selecting appropriate in-context examples ...