As quantum computing hardware advances, the demand for scalable, precise, and fully automated verification techniques for ...

By Kaunda ISMAILThis article discusses key tools needed to master, in order to penetrate the data space. Such tools include ...

Microsoft’s data lakes meet the industrial internet of things, helping you create complex models with data from multiple ...

The prediction of long-term outcomes in ischemic stroke patients may be useful in treatment decisions. Machine learning techniques are being increasingly adapted for use in the medical field because ...

As digital transformation accelerates across industries, education is witnessing a silent revolution powered by artificial ...

The purpose of this article is to provide a comprehensive review for the use of supervised and unsupervised Machine Learning as well as Deep Neural Networks for charging behavior analysis and ...

It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are ...

Yet, so far we lack a theoretically sound connection to popular kernel-based learning techniques, such as kernel SVMs or kernel PCA. In this work, we establish such a connection by designing a ...