New Scientist

We might finally know how to use quantum computers to boost AI

Pushing against years of scepticism, an analysis suggests quantum computers may offer real advantages for running machine ...
Medical Xpress

A machine learning model that uses DNA methylation patterns may help identify the origin of cancers of unknown primary

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...
EurekAlert!

Image-based machine learning framework sharpens battery health estimation across varying conditions

Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental ...

Delhi Technological University, TimesPro announce the inaugural Advanced Certificate Program in Artificial Intelligence

Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...
IEEE

Optimizing CNN for IoT Anomaly Detection in 6G using Ant Lion Optimizer and Slime Mould Algorithm

Abstract: The fast spread of the Internet of Things (IoT) and the approaching deployment of 6G networks have presented hitherto unheard-of possibilities and problems in network security. IoT devices ...

Connect with CNN 10

CNN 10 is a daily news show for students over 13 and other viewers who want to learn about current events and global issues ...
IEEE

Lung Cancer Prediction System Using CNN and Machine Learning Algorithms

Abstract: Lung cancer, the leading cause of cancer-related mortality worldwide, is often diagnosed at advanced stages, limiting treatment efficiency. This paper introduces a hybrid system integrating ...
IEEE

Using Machine Learning Algorithm to Predict Climate Change Pattern in Natural Geographical Environment

Abstract: Traditional climate prediction methods are limited by the processing capacity of nonlinear and complex climate systems, while machine learning algorithms show significant advantages in ...
IEEE

Hybrid CNN and Machine Learning Framework for Detecting Curvularia Leaf Spot in Oil Palm Seedlings Using VGG16 and ResNet50

Abstract: This study presents a hybrid framework for detecting black leaf spot disease in oil palm seedlings caused by Curvularia infection by combining deep learning with classical machine learning ...
IEEE

Convolutional Neural Network (CNN) Algorithm Based Facial Emotion Recognition (FER) System for FER-2013 Dataset

Abstract: Facial expression recognition (FER) is the key to understanding human emotions and feelings. It is an active area of research since human thoughts can be collected, processed, and used in ...