Every conventional radar has the same vulnerability: it announces its presence. The moment a radar transmits, it becomes ...

Abstract: The vortex electromagnetic waves (VEMWs) imaging technique has exhibited excellent performance in target imaging. However, most existing three-dimensional (3D) VEMWs imaging methods still ...

IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...

Abstract: This letter proposes a Quantum-MUSIC, the first multiple signal classification (MUSIC) algorithm for quantum wireless sensing of multi-user. Since the atomic receiver for quantum wireless ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Spiking neural network (SNN) is considered to be the brain-like model that best conforms to the biological mechanism of the brain. Due to the non-differentiability of the spike, the training method of ...

The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could. In 2007, some of the leading ...

At present, most lane line detection methods are aimed at simple road surface. There is still no good solution for the situation that the lane line contains arrow, text and other signs. The edge left ...

Single-molecule localization techniques are restricted by long acquisition and computational times, or the need of special fluorophores or biologically toxic photochemical environments. Here we ...

Sorting the signal from the noise is an increasingly tedious task for anyone spending time online. London-based startup Signal Media is using that as an opportunity to build a business out of ...