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 ...

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

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 ...

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

Our research efforts aim to understand the nature of visual perception so that we can create more visually intelligent machines. This is enabled via fundamental concepts in reasoning, prediction, ...

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

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 ...

When it comes to machine learning, there are some broad concepts and terms that everyone in search should know. We should all know where machine learning is used, and the different types of machine ...

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 ...