AI-in-Sensor Solution Eases Deployment and Overcomes Privacy, Latency and Crowding HOUSTON, TX, UNITED STATES, January ...

A new theoretical proposal argues that the massive object sitting at the center of our galaxy may not be a black hole at all, but rather a dense clump of fermionic dark matter with no event horizon.

VeritasChain releases CPP with LiDAR/ToF depth analysis. VeraSnap delivers world's first consumer LiDAR-based screen ...

Google Ads quietly rolls out a powerful new AI model that is better able to catch policy violations and malicious activity. Google published a research paper about a new AI model for detecting fraud ...

Marine plastic pollution is a pressing environmental threat, making reliable automation for underwater debris detection essential. However, vision systems trained on one dataset often degrade on new ...

Abstract: Due to the limited training samples in few-shot object detection (FSOD), we observe that current methods may struggle to accurately extract effective features from each channel. Specifically ...

With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...

Spiking Neural Networks (SNNs), inspired by neuroscience principles, have gained attention for their energy efficiency. However, directly trained SNNs lag behind Artificial Neural Networks (ANNs) in ...

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 with ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.