Deep learning and neural networks are becoming increasingly accurate at performing complicated tasks. But are they robust as well. Researchers at MIT-IBM Watson AI Lab have developed methods to evaluate the robustness of neural networks against adversarial examples.
DARPA's XAI initiative aims to shed light inside the black box of artificial intelligence algorithms. Project Manager Dave Gunning explains how the agency is working to create explainable AI tools that will build trust and reliability into AI models.
Boston University's Kate Saenko discusses explainable AI and interpreting decisions made by deep learning algorithms and neural networks.
Artificial intelligence is leaving its mark in many domains, on of them being data centers, where AI algorithms are cutting costs and improving efficiency.
AI algorithms that personalize online news feeds created filter bubbles. Now one company wants to use the same technology to help us fight it.
While it’s not safe to make predictions about whether China will successfully push the US to the second position in the AI industry, it's evident that China is putting its best chip forward when it comes to AI.
Google Docs link-sharing enables users to share their files with the public. Can the owner of the publicly shared Google Docs collect information about visitors?
Ransomware is more advanced than ever - and it shows no signs of slowing. Here’s what you need to do to protect yourself and your business.