Newspoint on MSN

Unlock Your Career Potential with These Top AI Certifications

Artificial intelligence is rapidly becoming one of the most lucrative and sought-after fields. The ongoing digital ...
Newspoint on MSN

AI Courses: These are the top 5 AI courses that will increase your salary in minutes..

Artificial intelligence is one of the fastest-growing and highest-paying fields today. The continued digitization of ...
Leadership

Nigerian Researcher Develops Deep Learning Model To Transform Brain Cancer Diagnosis

In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...
IEEE

Multiscale Dynamic Weight-Based Mixed Convolutional Neural Network for Fault Diagnosis of Rotating Machinery

Abstract: Convolutional neural network (CNN) was widely applied to the data-driven-based fault diagnosis. However, it often needs to artificially transform the signal into a 2-D image with the help of ...
Medical Xpress

Brain organoids reveal potential neural basis of schizophrenia and bipolar disorder

Pea-sized brains grown in a lab have for the first time revealed the unique way neurons might misfire due to schizophrenia and bipolar disorder, psychiatric ailments that affect millions of people ...
Frontiers

Image steganalysis using LSTM fused convolutional neural networks for secure telemedicine

Deep learning-based image steganalysis has progressed in recent times, with efforts more concerted toward prioritizing detection accuracy over lightweight frameworks. In the context of AI-driven ...
pv magazine International

PV module fault diagnosis uses convolutional neural network

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...
IEEE

A Microwave Photonic Processor for Convolutional Neural Networks With Increased Effective Speed of Convolution

Abstract: Due to the strong feature extraction capabilities, convolutional neural networks (CNNs) have been utilized for various tasks, including image recognition, object detection, and natural ...