AI deciphers long-range DNA signals behind RNA splicing

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

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 ...
Technology Networks

AI Applications in Phenotypic Screening

Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ML-driven cell-based assays.
IEEE

Dynamic Embedding Projection-Gated Convolutional Neural Networks for Text Classification

Abstract: Text classification is a fundamental and important area of natural language processing for assigning a text into at least one predefined tag or category according to its content. Most of the ...
manilatimes

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 ...
GitHub

ESC-50: Dataset for Environmental Sound Classification

The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification. The dataset consists of 5-second-long ...
GitHub

Text classification with Convolution Neural Networks (CNN)

Combine word-level with character-based input. The char input ist optional and can be used for further reasearch. Change padding of conv-layer from same to valid. Add average pooling after conv-layer ...
IEEE

A Hybrid Bidirectional Recurrent Convolutional Neural Network Attention-Based Model for Text Classification

Abstract: The text classification task is an important application in natural language processing. At present, deep learning models, such as convolutional neural network and recurrent neural network, ...
Frontiers

Hybrid quantum-classical convolutional neural network for phytoplankton classification

The taxonomic composition and abundance of phytoplankton have a direct impact on marine ecosystem dynamics and global environment change. Phytoplankton classification is crucial for phytoplankton ...