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 ...

Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...

That’s the idea behind Umia, billed as the world’s first “AI manicure machine”. At first glance, it looks more like a dystopian espresso maker than a beauty device: a matte white box small enough to ...

Abstract: DC arc faults in photovoltaic systems pose serious safety risks, including fire hazards and power disruption, making accurate and timely detection essential. This article presents PArcNet, a ...

Neural networks are algorithmic systems created based on the principle of the human nervous system. They consist of many ...

The review reveals that supervised learning dominates AI-driven agriculture, accounting for nearly 60 to 88 percent of all ...

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 ...