From game-playing bots to robotic hands that dexterously handle objects, reinforcement learning creates AI models that requires little training data.
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.
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.
Deep learning and neural networks have occupied the highlights of the artificial intelligence industry since 2012. Here's everything you need to know.
Computer vision enables computers to understand the content of images and videos. It is one of the main bridges between the physical and digital worlds.
In the past, unfulfilled promises in artificial intelligence caused a decline in interest and funding, also known as AI winter. The question is, will it happen again?
Explainable AI helps peer into the black box of neural networks and deep learning algorithms, an important requirement for using automation in many domains.
The beginner's guide to smart contracts, the software layer that enables blockchain to do wonders beyond cryptocurrencies.
Signal, Telegram, and other secure messaging apps and services used domain fronting to circumvent government censorship. But what is it really?
A machine learning expert decided to address artificial intelligence's lack of imagination, and overnight, he invented generative adversarial networks (GAN).