IoT is an often-confused term. Here's what it means now and in the future.
A machine learning expert decided to address artificial intelligence's lack of imagination, and overnight, he invented generative adversarial networks (GAN).
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.
Explainable AI helps peer into the black box of neural networks and deep learning algorithms, an important requirement for using automation in many domains.
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...
You might have noticed the new vertical added to Tech Talks this week, dubbed “What is…” In this column, we’ll be publishing articles that will offer general information about topics of interest—obviously related to tech—that...
elephants object detection
Learn how deep neural networks detect objects in images in this primer on object detection with deep learning.
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.
AI winter
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?
Just as blockchain, the technology that underlies bitcoin and other cryptocurrencies, continues to show potential in transforming many industries, it is also showing its potential in the crowdfunding and investment domain. Initial Coin Offering (ICO) has...