They then trained a convolutional neural network — a form of AI used for image recognition — to link dune images with ...

Blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI) is a cornerstone of non-invasive brain function investigation, yet its ...

In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...

Abstract: In this article, a framework for the analog implementation of a deep convolutional neural network (CNN) is introduced and used to derive a new circuit architecture which is composed of an ...

Artificial intelligence has written novels, driven cars, and painted portraits. So, perhaps it was only a matter of time ...

Artificial intelligence has penned novels, navigated cars and crafted portraits. So, it was only a matter of time before it ...

In an era where visual content dominates digital interaction—whether through security cameras, social media clips, or live ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...

That’s the idea behind Umia, billed as the world’s first “ AI manicure machine”. At first glance, it looks more like a ...

Brazilian researchers have developed a technique that estimates the force exerted on each grain of sand in a dune from images ...

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

ARUP Laboratories today announced the publication of an article in the Journal of Clinical Microbiology describing the company's validation of a deep convolutional neural network (CNN) to detect ...