Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...

Artificial intelligence (AI) is no longer a buzzword; it has become an integral part of our lives, influencing every aspect of society in ways we could only dream of just a few years ago. AI has made ...

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...

The chapters of “Machine Learning Methods for Engineering Application Development“ book are organized into five parts Machine Learning Essentials, Applied Machine Learning, Surveillance Systems, ...

Embodied artificial intelligence (AI) systems are robotic agents that rely on machine learning algorithms to sense their ...

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential to ...

Sahaj Tushar Gandhi, a machine learning engineer specialising in computer vision and AI applications, works across academic ...

In this and future posts, I thought it might be useful to provide some real-world applications of machine learning in a trading context. Because machine learning is such a broad topic, I am going to ...

Chief Growth Officer of Tynker, a leading K-12 edtech platform that has helped more than 100 million kids learn to code. Mobile learning has become increasingly popular, mainly due to the Covid-19 ...

In 2013, the University of Texas at Austin’s computer science department began using a machine-learning system called GRADE to help make decisions about who gets into its Ph.D. program -- and who ...