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NASA captured an object traveling 19 times faster than sound

During the Stardust mission, NASA captured material traveling at nearly 19 times the speed of sound. The impact was so extreme it required special collection technology. The data revealed how violent ...
Hackaday

Simple Tricks To Make Your Python Code Faster

Python has become one of the most popular programming languages out there, particularly for beginners and those new to the hacker/maker world. Unfortunately, while it’s easy to get something up and ...
Futurism

Malware Is Now Using AI to Rewrite Its Own Code to Avoid Detection

Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...
PC Gamer

Great, now even malware is using LLMs to rewrite its code, says Google, as it documents new phase of 'AI abuse'

AI Microsoft CEO warns that we must 'do something useful' with AI or they'll lose 'social permission' to burn electricity on it AI Steam updates AI disclosure form to specify that it's focused on ...
Bleeping Computer

Microsoft Edge gets scareware sensor for faster scam detection

Microsoft is introducing a new scareware sensor for the Microsoft Edge web browser, which helps detect scam pages more quickly and ensures that Defender SmartScreen blocks them faster. In scareware ...
GitHub

Pushkkaarr/Weapon-Detection-Using-Fast-R-CNN

Loads the trained Faster R-CNN model. Reads the input video frame by frame. For frames with weapons detected above a confidence threshold, saves the frame to a folder. Names the frames with the ...
Government Executive

Has Space Force cracked the code on faster acquisition?

WAILEA, Hawaii—As the U.S. military waits for major acquisition reform legislation, Space Force officials say their service is ahead of the curve. “We’re anxious to see [the legislation], but I also ...
GitHub

Question of object detection when using dinov3

I tried using DINOv3 as the pre-trained model for the detector and encountered an issue. When defining the Transformer, self.reference_points（not two-stage） is initialized as follows: if two_stage: ...
Scientific Research Publishing

Gao, X., Chen, L., Wang, K., Xiong, X., Wang, H. and Li, Y. (2022) Improved Traffic Sign Detection Algorithm Based on Faster R-CNN. Applied Sciences, 12, Article 8948.

ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...