AI and Machine Learning in Digital Wallets: From Fraud Detection to Personalized Finance

AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...
Scientific Research Publishing

An Empirical Study Based on Big Data Analysis to Analyze Social Media Group Sentiment and Its Impact on Consumer Psychology ()

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
Gothamist

Some families report hiccups as NYC public school students log on for remote learning

A half-million New York City public school students were expected to attend class via laptops and tablets Monday following Sunday’s snowstorm, but some families said the remote-learning tech crashed ...
Phys.org

Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
electronics360.globalspec

AI-assisted debugging: How machine learning is revolutionizing signal analysis

Traditional signal processing techniques have achieved much, but they face notable limitations when confronted with complex, high-volume data. Classical methods often rely on manual feature extraction ...
Frontiers

Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia

We integrated mitochondrial gene expression data with bulk RNA sequencing to identify key mitochondrial genes associated with AML. A total of fourteen machine learning algorithms were employed, ...
chromatographyonline

Machine Learning for Oligonucleotide Analysis in Practice

Torgny Fornstedt describes how machine learning can work in practice for oligonucleotide analysis. Recent advances in machine learning have significantly improved the ability to evaluate data quality ...
IEEE

Log2Learn: Intelligent Log Analysis for Real-Time Network Optimization

Abstract: Large network infrastructures generate vast amounts of log data, presenting challenges in analysis and optimization. Traditional log management systems often struggle to keep pace with the ...
C&EN

Nontargeted Analysis with Machine Learning Method Revealing New Chlorinated Byproducts of Tire-Leaching Compounds and Their Formation Pathways During Water Chlorination

Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 2G3, Canada Division of ...
Finextra

Impact of AI and Machine Learning on Financial Compliance

The financial services sector has always been one of the most heavily regulated industries in the world. From anti-money laundering (AML) directives to Know Your Customer (KYC) requirements, ...
Scientific Research Publishing

Comparative Research in Sentiment Analysis Using Machine Learning Technique ()

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...