Tech Xplore

Machine-readable dataset speeds environmental review drafting tasks

An innovative partnership has yielded powerful new tools to help federal agencies rapidly synthesize complex data, historical ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Wired

Jeff Bezos Is Funding a Wild Hunt for the Brain’s ‘Core Algorithm’

Rob Williams knows how to pitch Jeff Bezos: You write a press release as if your product has already been built. Bezos reads it and gives a thumbs up or down. Williams went through this process a lot ...
People

Wife of Man Who Was Fatally Sucked into MRI Machine While Wearing Metal Necklace Files Lawsuit Against Clinic

Keith McAllister's widow is suing the radiology office, claiming it failed to warn McAllister to remove his metal chain before entering the MRI room Keith Mcallister/Facebook Keith McAllister, 61, ...
CNN

13 controversial redactions from the Epstein files — and what we’re learning about them

This has been a big week in the long-running — and still very much not-over — saga of the Jeffrey Epstein files. That’s because we’ve begun to learn more about the Justice Department’s controversial ...
Frontiers

Explainable machine learning for stroke risk prediction: a comparative study with SHAP-based interpretation

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...
IEEE

Comparative Analysis of Classical and Ensemble Machine Learning Algorithms for Static Malware Classification using PE Files

Abstract: Traditionally, antivirus software has been used to detect malware by analysing software using known threat signatures. Nevertheless, a different and more successful strategy makes use of ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Quanta Magazine

A New Bridge Links the Strange Math of Infinity to Computer Science

Descriptive set theorists study the niche mathematics of infinity. Now, they’ve shown that their problems can be rewritten in the concrete language of algorithms. All of modern mathematics is built on ...
Wired

AI’s Next Frontier? An Algorithm for Consciousness

As a journalist who covers AI, I hear from countless people who seem utterly convinced that ChatGPT, Claude, or some other chatbot has achieved “sentience.” Or “consciousness.” Or—my personal favorite ...
IEEE

Construction of Visual Knowledge Graph Based on Distributed Machine Learning Algorithms

Abstract: This paper focuses on the application of distributed machine learning algorithms in the construction of visual knowledge graphs, delves deeply into the design principles of visual knowledge ...