The Queen Zone on MSN

Ford brings back former engineers to fix automation mistakes

It turns out that firing the humans and letting robots run the show is a great way to ...
The Print

A human firmly in the loop: RBI proposes ‘kill switch’ for AI used by banks & NBFCs

Draft framework released by RBI puts responsibility for AI-driven decisions squarely with the board, holds lenders ...
University of North Georgia

Students research network security

Five students partnered with Dr. Ahmad Ghafarian, a UNG professor of computer science and cybersecurity, on the application ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
IEEE

Sleep Apnea Detection From Single-Lead ECG: A Comprehensive Analysis of Machine Learning and Deep Learning Algorithms

Abstract: Sleep apnea is a common sleep breathing disorder (SBD) in which patients suffer from stopping or decreasing airflow to the lungs for more than 10 sec. Accurate detection of sleep apnea ...
Nature

Development and external validation of a machine learning–based Cox model for predicting in-hospital survival in classic heatstroke: a multicenter retrospective study

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Healio

Q&A: Predicting how CPAP may impact cardiovascular disease event risk in OSA

Please provide your email address to receive an email when new articles are posted on . The risk for recurrent CVD events with CPAP use fell in adults predicted to benefit by a machine learning ...

So you’ve heard these AI terms and nodded along; let’s fix that

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might encounter.
IEEE

An Efficient Leave-One-Out Cross-Validation-Based Extreme Learning Machine (ELOO-ELM) With Minimal User Intervention

Abstract: It is well known that the architecture of the extreme learning machine (ELM) significantly affects its performance and how to determine a suitable set of hidden neurons is recognized as a ...
GitHub

ECG-DualNet: Atrial Fibrillation Classification in Electrocardiography using Deep Learning

This repository includes the code of the ECG-DualNet for ECG classification proposed in the paper Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in ...
Science Daily

Strong as steel, light as foam: High-performance, nano-architected materials

Researchers have used machine learning to design nano-architected materials that have the strength of carbon steel but the lightness of Styrofoam. The team describes how they made nanomaterials with ...
C&EN

The lab of the future is now

The laboratory of the future is a visionary concept: a goal that evolves as technology advances. Predictions are made, skeptics respond, and the vision reboots. The future offers few guarantees. But ...