How can we tell if artificial intelligence understands our language?
This article is part of “the philosophy of artificial intelligence,” a series of posts that explore the ethical, moral, and social implications of AI today
This article is part of “the philosophy of artificial intelligence,” a series of posts that explore the ethical, moral, and social implications of AI today
The graph neural networks are trending because of their applications in a variety of predictive analytics tasks. When it comes to modelling the data available
Real artificial intelligence (AI) is all about reality and causality, and how it is reflected in digital mentality and cyberspace or virtuality. There are two
The problem is wasteful supply chains clogged with excess inventory and defective parts. The goal is creating “perfect flow” for manufacturers and retailers to reduce
Deep learning framework with an interface or a library/tool helps Data Scientists and ML Developers to bring the deep learning models into life. Deep Learning
This article looks at the ways in which firms across the various sectors of the economy adopt Artificial Intelligence (AI) techniques. However, before we review
Interest in machine learning has exploded over the past decade. You see machine learning in computer science programs, industry conferences, and the Wall Street Journal
Have you ever wondered how you can use machine learning (ML) for translation? With our new framework, Sockeye, you can model machine translation (MT) and