From LLMs to hallucinations, here’s a simple guide to common AI terms

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...
IEEE

A Physics-informed Spatiotemporal Deep Learning Algorithm for High-resolution Leaf Area Index Retrieval

Abstract: High-resolution leaf area index (LAI) retrieval is crucial for ecological and agricultural applications, yet it remains challenging due to the enhanced spatial heterogeneity and limited ...
GitHub

What is Deep Learning?

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...
ophthalmologyadvisor

Retinal Detachment Diagnosis Strong Using Deep Learning-Powered Fundus Images

Deep learning algorithms for ultra-widefield fundus photos can identify retinal detachments with precision, supporting early diagnoses in varied settings. Deep learning (DL) models applied to ...
Science News

AI models spot deepfake images, but people catch fake videos

AI systems are far better than people at spotting deepfake images, but when it comes to deepfake videos, humans may still have the edge. That’s the surprising twist from a new study that pits people ...
financefeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
ahajournals.org

Abstract 4369022: A multi-task deep learning algorithm for detecting obstructive coronary artery disease using fundus photographs

Background and Aims: Obstructive coronary artery disease (CAD) can lead to myocardial infarction or cardiac death. The accuracy of conventional risk prediction models is limited, leading to excessive ...
IEEE

Unsupervised Deep Learning Algorithm for Artifact Reduction in X-Ray CT Reconstruction From Truncated Data

Abstract: We introduce a fully unsupervised framework designed to reconstruct X-ray CT images from truncated projections without requiring prior truncation correction. By incorporating a Radon ...
Scientific Research Publishing

Effectiveness of Deep Learning Algorithms in Phishing Attack Detection for Cybersecurity Frameworks ()

1 University of Illinois at Springfield, Springfield, IL, USA. 2 University of Houston, Houston, TX, USA. 3 Sacred Heart University, Fairfield, CT, USA. 4 University ...
Scientific Research Publishing

Li, M., Jiang, Y., Zhang, Y. and Zhu, H. (2023) Medical Image Analysis Using Deep Learning Algorithms. Frontiers in Public Health, 11, Article 1273253.

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
C&EN

A Comparative Evaluation of Machine Learning and Deep Graph Learning for Chemical Ecotoxicological Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...