Sleep is one of medicine's underused data streams. Clinically, disturbed sleep has often been treated as a symptom of a disorder, but sleep is also a physiological state in which brain, cardiac, ...

Dive into the captivating world of miniature crafting as we guide you through creating an illuminated lighthouse diorama, complete with detailed shipwrecks and a glowing deep-sea monster. Explore ...

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 ...

What if you could turn a complex research project or an overwhelming workload into a seamless, almost effortless experience? NotebookLM promises to do just that, offering a smarter, more intuitive way ...

I expect Pagaya to beat analysts’ revenue and EPS estimates when it reports Q4 earnings on February 9th. PGY’s estimated network volume growth and operating leverage could help offset a potential ...

Abstract: The rise of deep-fake technology has sparked concerns as it blurs the distinction between fake media by harnessing Generative Adversarial Networks (GANs). This has raised issues surrounding ...

Paper: Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning The MFCAD (Machining Feature CAD) dataset is a comprehensive collection of 3D CAD models with labeled ...

Abstract: In response to the escalating threat of fake news on social media, this systematic literature review analyzes the recent advancements in machine learning and deep learning approaches for ...

This repository provides an end-to-end pipeline for medical image segmentation using deep learning. Implemented in Python with TensorFlow, OpenCV, and other popular libraries, this project includes ...