As we continue to chase the dream of fully autonomous vehicles, the technology we develop can solve smaller yet no less important problems, such as automating the operation of forklifts in industrial settings.
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.
When it comes to job hunting, a common concern is not having enough experience, while in software development job seekers and holders fear to have too much of it. Let's see how!
Artificial intelligence (AI) and automation are becoming the go-to options for addressing the troubles of modern-day AML and KYC regulatory compliance.
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.