Abstract: Deep learning (DL), a branch of machine learning (ML), is the core technology in today’s technological advancements and innovations. Deep learning-based approaches are the state-of-the-art ...

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 ...

What if your notebook could think with you, not just for you? Imagine a tool that doesn’t just store your notes but actively helps you connect ideas, solve problems, and even learn faster. That’s the ...

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.

Why is this important? This upgrade will allow users to pull source material directly from their Gmail, Drive, or Chat, eliminating the need to manually download and upload files. Why should I care?

Early detection and molecular characterization of disease progression are persistent challenges in modern medicine. Although genomic and transcriptomic profiling of tissue lesions and precursors has ...

So, you want to learn a new skill—playing tennis, speaking Chinese, or playing the violin. You’ve probably heard about the importance of developing muscle memory, or that it takes 10,000 hours of ...

From Cape Town to Tehran to Lima to Phoenix, dozens of cities across the globe have recently experienced water shortages. In the next five years the world’s demand for fresh water could significantly ...

The rise of large language models like ChatGPT has led to widespread concern that “everyone is cheating their way through college,” as a recent New York magazine article memorably put it. Now, OpenAI ...

For patients with Parkinson's disease, changes in their ability to walk can be dramatic. “Parkinson’s gait,” as it is often called, can include changes in step length and asymmetry between legs. This ...

This project presents a complete workflow for cone detection in Formula Student Driverless scenarios using deep learning. It demonstrates how to use MATLAB® and Simulink® for data preparation and ...