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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...
Deep learning and neural networks have occupied the highlights of the artificial intelligence industry since 2012. Here's everything you need to know.
AI isn't about replacing humans. It's about complementing them. That's why it should be called augmented intelligence.
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.
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The European General Data Protection Regulation (GDPR) goes into effect on 25th May. What is it and how does it affect your business?
The fourth industrial revolution is well underway — and it's thanks to a confluence of technologies we wrote off as science fiction just a few short years ago.
NLP and NLG, the two branches of AI that parse and generate human language, have removed many of the barriers between humans and computers.
From game-playing bots to robotic hands that dexterously handle objects, reinforcement learning creates AI models that requires little training data.
We thought AI algorithms never become racist or sexist. We were wrong. They can inherit our prejudices and amplify them manifold.
A machine learning expert decided to address artificial intelligence's lack of imagination, and overnight, he invented generative adversarial networks (GAN).