New algorithm identifies disease-linked changes in cells without prior training

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...
News-Medical.Net

What Are Brain-Computer Interfaces and How Do They Treat Neurological Disorders?

Precision neurostimulation leverages AI and closed-loop feedback, delivering tailored treatments for neurological disorders ...
Frontiers

How humans and machines make meaning: Exploring neural and computational mechanisms of multimodal language

Language understanding is inherently multimodal. Whether we read, listen, or converse, our brains go beyond words to draw on visual scenes, prosody, prior ...

The Backbone Of AI: Unscrambling The Basics

AI’s “backbone” increasingly means energy, infrastructure, and matrix math powering massive next-generation computing systems ...

WiMi Implements a Quantum Kernel Convolution (QKC) Scheme Capable of Running on Current Noisy Intermediate-Scale Quantum (NISQ) Devices

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announces the release of a core technology for hybrid Quantum ...
LinkedIn

Artificial Intelligence Standards Series: Retraining Mechanisms & Neural Network Foundations | ISO/IEC 22989:2022 – Part 6

Artificial Intelligence systems continue to evolve as data, environments, and operational requirements change. ISO/IEC 22989:2022 provides a standardized conceptual framework for understanding ...
IEEE

Multiscale Convolutional Neural Network With Self-Attention Mechanism and Soft Thresholding for Industrial Process Fault Diagnosis

Abstract: This article proposes a multiscale convolutional neural network (MSCNN)-based fault diagnosis method (AM-MAST) using a self-attention mechanism and soft thresholding. It aims to improve the ...
Nature

Pedestrian detection in aerial image based on convolutional neural network with attention mechanism and multi-scale prediction

Pedestrian object detection is crucial in intelligent systems such as traffic management and surveillance. Traditional machine learning methods have shown drawbacks, including low accuracy and slow ...
Frontiers

Neural heterogeneity as a unifying mechanism for efficient learning in spiking neural networks

The brain is a highly diverse and heterogeneous network, yet the functional role of this neural heterogeneity remains largely unclear. Despite growing interest in neural heterogeneity, a comprehensive ...
Nature

Blockchain consensus algorithm for supply chain information security sharing based on convolutional neural networks

With the development of the economy, the advancement of globalization, and the continuous expansion of supply chain networks 1,2, the problems of supply chain management 3,4 have become increasingly ...
Scientific Research Publishing

Sun, Y., Dong, Y. and Chen, Y. (2024) Global Evapotranspiration Simulation Research Using a Coupled Deep Learning Algorithm with Physical Mechanisms. Irrigation and Drainage.

ABSTRACT: Internet of Things (IoT) networks present unique cybersecurity challenges due to their distributed and heterogeneous nature. Our study explores the effectiveness of two types of deep ...