From Arrhythmia to Harmful Gases... AI Diagnoses in Real Time Inside the Patch [Reading Science]

An artificial intelligence (AI)-based wearable patch capable of autonomously analyzing not only biosignals such as ...
Morningstar

WiMi Studies Multi-Scale Feature Fusion Quantum Deep Convolutional Neural Network for Text Classification

BEIJING, May 6, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a breakthrough ...
Scientific Research Publishing

Zhang, X., Zhao, J. and LeCun, Y. (2015) Character-Level Convolutional Networks for Text Classification. Advances in Neural Information Processing Systems (NeurIPS 2015 ...

ABSTRACT: This study presents a comparative analysis of two distinct machine learning approaches for multilingual text identification: character-level neural networks (CNN/RNN) and traditional Naive ...
The New York Times

Big Tech Wants Direct Access to Our Brains

As neural implant technology and A.I. advance at breakneck speeds, do we need a new set of rights to protect our most intimate data — our minds? Credit...Photo illustration by Tyler Comrie Supported ...
IEEE

CFAT: Convolutional Fieldy Attention Transformer for Polarimetric SAR Image Classification

Abstract: Classification of polarimetric synthetic aperture radar (PolSAR) images is one of the most prominent topics in the field of PolSAR and is crucial for its applications. In recent years, with ...
Scientific Research Publishing

Zhang, X., Zhao, J.B. and LeCun, Y. (2015) Character-Level Convolutional Networks for Text Classification.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
IEEE

Multiscale Gaussian Process-Driven Graph Convolutional Neural Network for Polarimetric SAR Image Classification

Abstract: By focusing on the structure exploration and information propagation from non-Euclidean data space, graph convolutional neural network (GCN), which can extract abundant and discriminative ...
Frontiers

Quantized convolutional neural networks: a hardware perspective

With the rapid development of machine learning, Deep Neural Network (DNN) exhibits superior performance in solving complex problems like computer vision and natural language processing compared with ...
Frontiers

Automated classification of midpalatal suture maturation using 2D convolutional neural networks on CBCT scans

Accurate assessment of midpalatal suture (MPS) maturation is critical in orthodontics, particularly for planning treatment strategies in patients with maxillary transverse deficiency (MTD). Although ...