Explained: Difference between Nvidia GPU and Google TPU

Nvidia lost billions of dollars from its market value after a report claimed that Meta, the parent company of Facebook and ...
Beebom

What is the Difference Between Deep Learning and Machine Learning

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
Beebom

AI vs Machine Learning: What is the Difference?

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Scientific Research Publishing

Alamdari, S., Basiri, M., Mousavi, A. and Soofastaei, A. (2022) Application of Machine Learning Techniques to Predict Haul Truck Fuel Consumption in Open-Pit Mines. Journal of ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
IEEE

Differentiating Artificial Intelligence, Machine Learning, Deep Learning, and Data Mining

Abstract: The terms Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Data Mining (DM) are frequently used interchangeably across academic, regulatory, and industrial ...
C&EN

Historical Data Mining Deep Dive into Machine Learning-Aided 2D Materials Research in Electrochemical Applications

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...
Frontiers

Prediction of cardiovascular risk using machine-learning methods. Sex-specific differences

Background: Machine learning (ML) algorithms offer some advantages over traditional scoring systems to assess the influence of cardiovascular risk factors (CVRFs) on the risk of major cardiovascular ...
Frontiers

Deep learning for enhanced prediction of diabetic retinopathy: a comparative study on the diabetes complications data set

Background: Diabetic retinopathy (DR) screening faces critical challenges in early detection due to its asymptomatic onset and the limitations of conventional prediction models. While existing studies ...
IEEE

Evaluation of Machine Unlearning Through Model Difference

Abstract: Increasing attention is being paid to machine unlearning, which supports individuals’ “right to be forgotten.” While most studies focus on the efficiency and effectiveness of unlearning ...