What is the Difference Between Deep Learning and Machine Learning

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

The AI arms race: Inside the invisible war between hackers and defenders

Artificial intelligence has become both the weapon and the shield in today’s cyber battlefield. From self-learning malware to ...
The Manila Times

4D Path’s Physics-Inspired QPOR™ Platform Predicts Neoadjuvant Chemotherapy Response from Routine Biopsy Images in Early-Stage Triple-Negative Breast Cancer …

Prospective-trial analysis published in the Journal of the National Cancer Institute predicts residual cancer burden from ...
SciELO

Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach

Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
The Varsity

A new, emerging use for AI in chronic facial pain

Machine learning (ML), a subset of AI, has the capacity to address technical limitations that traditional diagnostic methods ...
eeworldonline

Why inverter designers need to understand space vector modulation

Space vector modulation (SVM) is a sophisticated digital control technique that improves three-phase inverter performance over traditional sinusoidal PWM (SPWM). SVM’s higher DC bus utilization ...
GitHub

Heart Disease Classification using Machine Learning Algorithms (SVM, MLP, Random Forest) for Medical Diagnosis

There was an error while loading. Please reload this page. This project focuses on developing and evaluating machine learning models to classify individuals into ...
IEEE

Advanced SVM and KNN Algorithms for Fault Detection in Power Transformers based on Dissolved Gas Analysis

Abstract: Power transformers, as oil-immersed equipment, are primarily diagnosed using dissolved gas analysis (DGA), a widely recognized and effective fault detection method. Over time, numerous ...
EurekAlert!

Neuromorphic devices and machine learning combine to make brain-like devices possible

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...