Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and visualization. Mike Johnson gives update on Jan. 6 plaque Alaska received 7 feet of ...

Medical image segmentation is a fundamental component of many clinical applications such as computer-aided diagnosis, radiotherapy planning, and preoperative planning. Its accuracy and stability ...

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 ...

Utilities are increasingly being asked to do more with aging infrastructure, incomplete asset records and rising expectations for reliability and resilience. A recent Factor This and DTECH webinar ...

Hi, thanks for sharing this great work! I’m currently trying to train the model on my own 2D dataset, but encountered an assertion like: assert x.shape[1] == 1 This seems to indicate that the model ...

OpenAI CEO Sam Altman on Monday announced the launch of AgentKit, a toolkit for building and deploying AI agents, at the firm’s Dev Day event. “AgentKit is a complete set of building blocks available ...

Maxar and Ecopia mapped buildings, roads and land cover footprints across Reynosa, Mexico, on the southern border. With these vectors, authorities can establish a trusted “before” picture of the town, ...

Objective: To investigate the role of hypoxia-related genes and immune infiltration in intervertebral disc degeneration (IDD) to identify molecular mechanisms and potential therapeutic targets.

Abstract: This paper introduces AVCaps, an audio-visual dataset that contains separate textual captions for the audio, visual, and audio-visual contents of video clips. The dataset contains 2061 video ...

It’s becoming a little easier to build sophisticated robotics projects at home. Earlier this week, AI dev platform Hugging Face released an open AI model for robotics called SmolVLA. Trained on ...