Researchers explore a human speech recognition model based on machine learning and deep neural networks. They calculated how many words per sentence a listener understands using automatic speech ...

Artificial Intelligence (AI) has a problem -- it’s artificial. To be fair, AI and its sister disciplines of machine learning, cognitive computing, sentiment analysis and neural networking have a ...

Traditional machine learning struggles with the complexity and variety of human behaviours recorded by sensors. This project aims to improve Human Activity Recognition (HAR) by using “ensemble” ...

Computers and humans have never spoken the same language. Over and above speech recognition, we also need computers to understand the semantics of written human language. We need this capability ...

Learn More Human intelligence and intuition are vital to training artificial intelligence (AI) and machine learning (ML) models to provide enterprises with hybrid cybersecurity at scale.

This first article in a series describes the history of artificial intelligence in medicine; the use of AI in image analysis, identification of disease outbreaks, and diagnosis; and the use of chat ...