It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are ...

The IBS-Yonsei research team introduces a novel Lp-Convolution method at ICLR 2025. A team of researchers from the (IBS), ...

In this paper, we propose CiFi, deep convolutional neural networks (DCNN) for indoor localization with ... We then create estimated AoA images as input to a DCNN, to train the weights in the offline ...

In the rapidly advancing field of healthcare, the integration of Artificial Intelligence (AI) and Machine Learning (ML) ...

Machine learning (ML) and deep learning (DL) algorithms now enable robust, non-invasive authentication. Tools such as ...

The proposed system redefines smart livestock farming by eliminating the need for wearable devices and manual observation.

Background Coronary artery disease (CAD) is linked to an increased risk of mild cognitive impairment (MCI). Effective and ...

Researchers at the Paul Scherrer Institute PSI have developed an AI that could open up a new, cost-effective approach to ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), they announced today their research on quantum visual computing, exploring the integration of quantum computing with classical ...

Z Advanced Computing, Inc. (ZAC), the pioneer Cognitive Explainable-AI (Artificial Intelligence) (Cognitive XAI or CXAI) ...

Neural processing unts (NPUs) are the latest chips you might find in smartphones and laptops — but what are they ard why are they so important?

In the omics feature analysis of ultrasound medical images, I used machine learning, convolutional neural networks (CNN), and logistic regression methods to conduct in-depth mining and analysis of ...