Enterprises adopting voice AI must consider not just usability, but inclusion. Supporting users with disabilities is a market opportunity.

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification This project was inspired by Y. Tang's Deep Learning using Linear Support ...

Building a PC for AI or machine learning is very different from making your own gaming machine. Here are some top tips so you won't go wrong.

This research aims to capitalize on these advancements by integrating advanced machine learning algorithms into crack analysis systems. The main goal is to develop and execute an advanced framework ...

The authors compared their experimental results with respect to Support Vector Machine (SVM) and Convolutional Neural Networks (CNN) in this work and they concluded that the CNN based heuristic tumor ...

The thought of deep learning can be beneficial to excavate the invisible value of input to the greatest extent. To address the problem of lacking representational learning, deep extreme learning ...

With the proliferation of embedded computing, many machine learning (ML) applications have found their way into embedded devices. The SVM classifier is deemed suitable for real-world ML applications, ...