Abstract: Quantum Computing (QC) technology and Deep Learning (DL) science have garnered significant attention for their potential to revolutionize computation. This paper introduces the basic ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Remotely sensed geospatial data are critical for applications including precision agriculture, urban planning, disaster monitoring and response, and climate change research, among others. Deep ...

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.

This summer scientists drilled deep below the Atlantic Ocean off the coast of northeastern US and tapped into a huge, mysterious reservoir of freshwater — what they discovered could have big ...

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...

Abstract: The rapid evolution of modern electric power distribution systems into complex networks of interconnected active devices, distributed generation (DG), and storage poses increasing ...

Google is rolling out a new AI-powered experimental feature in Google Translate designed to help people practice and learn a new language, the company announced on Tuesday. Translate is also gaining ...

To blunt the toxic arsenic in the waters where it lives, a deep-sea worm combines it with another chemical to produce a less toxic compound. By Jack Tamisiea Arsenic is a toxic metal, and exposure to ...

An HR advisor with a background in recruitment and HRIS functions, with a passion for video games and writing. Oliver grew up playing Call of Duty with his siblings and has garnered 1000s of hours ...