Onrec

How Data Annotation Powers AI Behind the Scenes

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...
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 ...
JD Supra

The Elusion Illusion and the AI Revolution

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...
360Dx

With Recent Data, HerAnova Lifesciences Makes the Case for Rule-In Endometriosis Test

The firm currently offers its HerResolve multiomic test for endometriosis that looks at seven biomarkers, including microRNAs ...
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 ...
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 ...
TechCrunch

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

Artificial intelligence is changing the world, and simultaneously inventing a whole new language to describe how it’s doing it. Spend five minutes reading about AI and you’ll run into LLMs, RAG, RLHF, ...
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 ...
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 ...