AI artist Refik Anadol uses massive datasets and AI to create immersive works shown around the world

Art made with AI is selling for over $1 million and being embraced by some of the world's most prestigious museums, but ...

Big data and human height: Scientists develop algorithm to boost biobank data retrieval and analysis

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

With the right prompts, AI chatbots can analyze biomedical big data accurately

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne ...
Frontiers

Accurate intelligent modeling of mud loss while drilling wells via soft computing methods

Accurate prediction of mud loss volume in drilling operations is a critical challenge in industries such as petroleum engineering and geothermal well construction. Unforeseen mud loss leads to ...
Phys.org

AI won't replace you, but it will redefine what makes you valuable at work

Across the world, workers are increasingly anxious that artificial intelligence (AI) will make their jobs obsolete. But the evidence from research and industry tells a very different story. AI is not ...
The Conversation

AI won’t replace you – but it will redefine what makes you valuable at work

Nazrul Islam is affiliated with Royal Docks School of Business and Law at the University of East London. He serves in editorial roles for Technological Forecasting and Social Change and IEEE ...
GitHub

TreeSHAP-compatible AdaBoost and RUSBoost classifiers for explainable AI on imbalanced datasets.

This package provides custom implementations of AdaBoost and RUSBoost classifiers that are compatible with SHAP's TreeExplainer, enabling fast local explanations for boosting algorithms on imbalanced ...
IEEE

A Novel AdaBoost Framework With Robust Threshold and Structural Optimization

Abstract: The AdaBoost algorithm is a popular ensemble method that combines several weak learners to boost generalization performance. However, conventional AdaBoost.RT algorithms suffer from the ...
Scientific Research Publishing

A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites ()

The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by security ...