How Kent businesses gain productivity advantages through AI-driven SEO automation

Regional businesses face a productivity problem. Algorithmic systems determine which brands appear in search results, yet most companies still rely on outdated ranking methods. Rainmaker ...
Tech Xplore

Physics-aware AI algorithm uses Newton's third law to keep simulations stable

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

SEO Ninja Explains How AI Is Changing Search Engine Optimization

SEO Ninja reveals how AI is transforming SEO, search algorithms, and digital marketing, helping businesses boost ...

AI-Enabled Wound Analysis Market to Triple by 2033 as Healthcare AI Accelerates – SRI

Market valued at $1.68B in 2024, projected to reach $4.58B by 2033 at 13.4% CAGR, driven by chronic wound prevalence ...

Inside the Race to Achieve the Singularity—Before Moore’s Law Runs Out

AI optimists envision a future where artificial general intelligence (AGI) surpasses human intelligence, but the path remains riddled with scientific and logistical hurdles.
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
IEEE

Assessing Basic Emotion via Machine Learning: Comparative Analysis of Number of Basic Emotions and Algorithms

Abstract: This paper explores the use of machine learning (ML) methods to identify "clusters" of basic emotions based on pleasure, arousal, and dominance (PAD). The data was obtained from the Dataset ...
Morningstar

Machine Learning Can Forecast Which Stock Factors Will Outperform

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
Scientific Research Publishing

Explainable Machine Learning in Risk Management: Balancing Accuracy and Interpretability ()

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...
SciELO

A Survey of Basic Concepts and Applications of Machine Learning to Chemistry

Theoretical and computational chemistry (TCC) is a set of theories and models that, over the years, were refined to the point that it is possible to determine measurable quantities with precision, ...
Frontiers

Postpartum depression risk prediction using explainable machine learning algorithms

Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...