Narrow AI technologies are very good at solving specific problems, but they fall short of fulfilling the requirements for human-level AI.
This article is part of Demystifying AI, a series of posts that (try) to disambiguate the jargon and myths surrounding AI. If you’re living on this planet, you probably hear a lot about Artificial Intelligence these...
Learn how deep neural networks detect objects in images in this primer on object detection with deep learning.
Deep learning and neural networks have occupied the highlights of the artificial intelligence industry since 2012. Here's everything you need to know.
Multimodal language models bring together text, images, and other datatypes to solve some of the problems current artificial intelligence systems suffer from.
By Gabor Takacs Web tracking is the practice by which websites and third-party companies collect information about users’ online activity. The basis of tracking is the accurate identification of users – you are detected and identified...
AI isn't about replacing humans. It's about complementing them. That's why it should be called augmented intelligence.
Federated learning is a technique that helps train machine learning models without sending sensitive user data to the cloud.
In tandem with advances in artificial intelligence, there’s growing interest in establishing ethical guidelines and standards to weigh the robustness and trustworthiness of the AI algorithms that are helping or replacing humans in making important and critical decisions.
By Rana Gujral Artificial intelligence as a discipline consists of hundreds of individual technologies, concepts, and applications. These terms have become increasingly important as STEM education expands and there is a boom in practical household and...