Scientist turns people’s mental images into text using ‘mind-captioning’ technology

A scientist in Japan has developed a technique that uses brain scans and artificial intelligence to turn a person’s mental ...
IEEE

ITAG: An Image-Text Attention-Gated Network for Breast Tumor Classification Using Dynamic Optical Imaging

Abstract: Breast cancer is one of the most prevalent and deadly cancers among women worldwide, with rising incidence and mortality rates, particularly in low-income regions. Conventional diagnostic ...
IEEE

Tiny-EfficientNet-SE: A Squeeze-and-Excitation Enhanced CNN Architecture for Multi-Domain Classification on Edge Device

Abstract: The growing demand for efficient and compact deep learning (DL) models designed for resource-constrained edge applications has surged with the increasing deployment of edge intelligence ...
CNN

State of the Union: Interviews with Treasury Secretary Scott Bessent; House Democratic Leader Rep. Hakeem Jeffries; Democratic Sen. John Fetterman

On CNN’s State of the Union, Jake Tapper asks Treasury Secretary Scott Bessent whether the Trump administration will use emergency funds to restore SNAP benefits for millions of Americans. Then, Jake ...
Hosted on MSN

Why Vietnamese banh mi absent from CNN list of world's 50 best

Banh mi, once praised world's best by international travel magazines and a symbol of Vietnam's street food scene, was not on CNN's list of the 50 best breads in the world because it is typically ...
IEEE

Label-Aware Hierarchical Ranking Model for Multi-Label Text Classification

Abstract: Multi-label text classification involves assigning multiple relevant categories to a single text, enabling applications in academic indexing, medical diagnostics, and e-commerce. However, ...
Frontiers

CerevianNet: Parameter Efficient Multiclass Brain Tumor Classification Using Custom Lightweight CNN

The final, formatted version of the article will be published soon. Brain tumors are a life-threatening condition, and their early detection is crucial for effective treatment and improved survival ...
IEEE

Hybrid CNN-LSTM Networks for Enhanced Lung Cancer Detection and Classification from CT Images

Abstract: In this paper, a hybrid deep learning model based on Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks are introduced for the automated detection of lung cancer ...
Reuters

Trump considers targeting cocaine facilities inside Venezuela, CNN reports

WASHINGTON, Oct 24 (Reuters) - U.S. President Donald Trump is considering plans to target facilities producing cocaine and routes used for drug trafficking inside Venezuela but has not yet decided ...
IEEE

Real Time Sign Language Recognition to Text and Speech using CNN based Deep Learning

Abstract: Though artificial intelligence has come a long way, communication gaps between deaf and hearing populations still exist. Such issues affect more than 430 million people worldwide who depend ...
IEEE

Hyperparameter-Tuned Lightweight CNN-SVM Hybrid Model for Efficient Multi-Class Lung Cancer Classification

Abstract: Lung cancer is a leading cause of cancer death worldwide; therefore, it is very crucial to have an early and accurate diagnosis for effective treatment. Existing research primarily focuses ...
IEEE

A Graph Convolutional Classification Model for MD&A Text Based on GloVe-BERT Feature Fusion and Poisson Correlation Enhancement

Abstract: This paper proposes a graph convolutional classification model for management discussion and analysis (MD&A) text, named GPB-GCN. The model addresses the issue of existing methods for ...