Artificial intelligence meets public works. Cambridge adopted the technology in June, joining some 80 other Massachusetts ...

This work aims detect potholes present on roads. It a pothole detection system alerts drives to impending road irregularities enabling proactive avoidance manoeuvres both driver and concerned ...

As shown below, the inferred masks predicted by our segmentation model trained on the Augmented dataset appear similar to the ground truth masks. This dataset was collected using a ZED stereo camera.

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python Virginia 2025 ...

Explore the controversial telescope design that even its maker questioned. We break down the spot diagram to uncover the optics behind the criticism and what it means for your viewing experience.

As block trading embeds itself deeper into buy-side workflows, understanding the nuances of dark liquidity is becoming critical. Alex Wicks, head of BlockCross sales and client coverage EMEA, Instinet ...

ABSTRACT: Rainfall-induced landslides threaten mountainous regions globally, yet existing models face challenges in real-time, large-scale prediction due to dependency on post-event data. This study ...

I came across your pothole detection project while browsing Roboflow looks like you're actively exploring bounding boxes, thresholds, and API integration. Solid setup. I know how tedious it gets ...