Explainable AI helps peer into the black box of neural networks and deep learning algorithms, an important requirement for using automation in many domains.
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.
This beginner’s guide to enterprise applications will tell you what they are, why they’re beneficial, and how businesses can use them in 2019.
The main takeaway from the buildup of developments in the cybersecurity landscape is that privacy is becoming a commodity. The CIA is spying on your phone. Hackers are breaking into your home. Your documents, emails,...
computer vision object detection
Convolutional neural networks (CNN), or ConvNets, have become the cornerstone of artificial intelligence (AI) in recent years. Their capabilities and limits are an interesting study of where AI stands today.
artifiicial intelligence applications
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...
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.
facial recognition mobile app
One-shot learning allows deep learning algorithms to measure the similarity and difference between two images.
Robot reading book
Training a deep learning model requires vast amounts of training data and compute resources. With transfer learning, developers can cut both on training examples and CPU costs.