Review of 40 years of genetics suggests dyslexia involves broader brain networks

A University of Houston psychology professor is challenging the notion that dyslexia, or specific reading disorder, stems ...

Keeping long-term climate simulations stable and accurate with a new AI approach

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...
EDN

Top 10 edge AI chips

Here are our picks for the top 10 edge AI chips with a bright future across applications from vision processing to handling multimodal LLMs.
IEEE

Attention-Based Convolutional Neural Network Model for Skin Cancer Classification

Abstract: Early detection of skin cancer (SC) is paramount for effective treatment. Although convolutional neural networks (CNN) have facilitated automated learning of high-level features from ...
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 ...
Frontiers

Convolutional neural networks decode finger movements in motor sequence learning from MEG data

1 Institute of Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia 2 Department of Learning, Data Analytics and Technology, Section Cognition, Data and ...
Frontiers

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

School of Dentistry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada Introduction: Accurate assessment of midpalatal suture (MPS) maturation is critical in orthodontics, ...
Scientific Research Publishing

Liu, P.F., Qiu, X.P. and Huang, X.J. (2016) Recurrent Neural Network for Text Classification with Multi-Task Learning.

ABSTRACT: This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional ...
IEEE

Using Deep Convolutional Neural Networks for Earthquake and Explosion Classification

Abstract: Accurate classification of seismic events is essential to prevent confusion in catalogs, which can distort seismic statistics and hazard analyses. Monitoring small-scale explosions aids in ...
C&EN

Interpretable Multiscale Convolutional Neural Network for Classification and Feature Visualization of Weak Raman Spectra of Biomolecules at Cell Membranes

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Raman spectroscopy in biological applications faces challenges due to complex spectra, ...