Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...

Researchers in China have created a dataset of various PV faults and normalised it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...

What is CNN in Deep Learning? In this video, we understand what is CNN in Deep Learning and why do we need it. CNN (or ...

A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from ...

Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

The Army envisions echolocation technology’s use in aerial drones, autonomous ground vehicles, and underwater vehicles—but ...

Neuromorphic computing, which mimics the human brain’s architecture and function, can be leveraged in edge computing to improve power efficiency, speed, and adaptability.

Understand how Highway Networks work and why they matter for training deep neural networks. A clear, beginner-friendly guide ...

In many industrial processes, foaming is an unavoidable side-effect of mixing, shearing and powder incorporation.

This article explains what compute-in-memory (CIM) technology is and how it works. We will examine how current ...

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached ...

Beauty AI integrates a multi-stage enhancement model that focuses on facial texture reconstruction and adaptive resolution scaling. Using a deep convolutional neural network, the system restores ...