Q&A: How mathematics can reveal the depth of deep learning AI

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
InfoWorld

AI and machine learning outside of Python

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...
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 ...

Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
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 ...

I tried the world’s first ‘AI manicure’ machine. Here’s what happened

That’s the idea behind Umia, billed as the world’s first “ AI manicure machine”. At first glance, it looks more like a ...
pv magazine International

Machine learning-based fault detection technique for bifacial PV

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...
C&EN

Machine Learning Modeling for ABC Transporter Efflux and Inhibition: Data Curation, Model Development, and New Compound Interaction Predictions

Department of Chemistry and Biochemistry, Rowan University, Glassboro, New Jersey 08028, United States Center for Biomedical Informatics and Genomics, Tulane University School of Medicine, New Orleans ...
IEEE

FedCNN: Federated Learning Framework Based CNN Model for Fault Classification in IEEE 30 Bus Transmission System

Abstract: Fault classification in multi-bus transmission lines with high precision and security is crucial for ensuring a reliable and stable power supply. Data-driven approaches have demonstrated ...
GitHub

resnet50-model

This repo contains the python codes of my final thesis "Analysis of leaf species and detection of diseases using image processing and machine learning methods". This project uses a pre-trained ...