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 ...
TMCnet

MicroCloud Hologram Inc. Releases Next-Generation Quantum Convolutional Neural Network Multi-Class Classification Technology, Driving Quantum Machine Learning Towards ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...
Frontiers

Novel deep learning for multi-class classification of Alzheimer’s in disability using MRI datasets

Introduction: Alzheimer’s disease (AD) is one of the most common neurodegenerative disabilities that often leads to memory loss, confusion, difficulty in language and trouble with motor coordination.
IEEE

Comparative Analysis of Custom Neural Network Model and VGG-16 for Multi-class Image Classification

Abstract: This study assesses the performance of CustomNet, a lightweight neural network model trained using NumPy and Pandas, compared to the VGG-16 architecture on the datasets of MNIST, Fashion ...
Scientific Research Publishing

Chen, W., Zhang, Y., Yeo, C.K., Lau, C.T. and Lee, B.S. (2018) Unsupervised Rumor Detection Based on Users’ Behaviors Using Neural Networks. Pattern Recognition Letters, 105 ...

ABSTRACT: Currently, social platforms provide places for people not only to gather information but also to generate and propagate rumors. Consequently, rumor detection has become a major global task ...
adtmag.com

OpenAI Releases gpt-image-1 Model via API for Developer Integration

OpenAI has made its gpt-image-1 image generation model available through its public API, giving software developers direct access to the same system that powers image creation in ChatGPT. The release ...
Frontiers

Enhancing multi-class neurodegenerative disease classification using deep learning and explainable local interpretable model-agnostic explanations

Introduction: Alzheimer's disease (AD) and Parkinson's disease (PD) are two of the most prevalent neurodegenerative disorders, necessitating accurate diagnostic approaches for early detection and ...
pratt.duke

Using Neural Networks to Precisely Model Social Behavior

Biomedical engineers at Duke University have developed a 3D imaging method to precisely map and categorize the social behavior of animals. By quantitatively measuring the movements, interactions, and ...