Artificial Intelligence has ignited a fire of excitement throughout the business world. But the AI revolution is picking up in some industries, but is slow to seep into others - why is that?
facial recognition mobile app
Advances in deep learning have helped create many computer vision applications. While the field still has clear limits, the progress is remarkable.
gradient descent deep learning
At the AAAI 2020 ConferenceDeep learning pioneer Yann LeCun discussed the problems of supervised learning and possible solutions to make AI less data-hungry.
911 is an antiquated system that has not improved since the 1960's. With the growth of blockchain innovation, the cloud and the proliferation of mobile devices, it’s time we did a full rethink of what an emergency grid can be.
When the term "whistleblower" comes to mind, one is reminded of government and shadow agency problems brought to light. But there's another aspect to the concept that involves the ousting of damaging, relevant information related to large corporations or individuals in the business world.
Deep learning is good at finding patterns in text and speech, but AI's understanding of the human language is shallow even if it sounds and looks convincing.
Apple's latest FaceTime vulnerability was yet another reminder of the inherent security threats of a ubiquitously connected and digitized world.
Gamification enables companies to gather data about the users of their mobile apps in ways that are fun and engaging—and sometimes creepy.
cybersecurity data breach
Machine learning will automate many repetitive tasks in fending off cyberthreats. But cybersecurity is still a human discipline, AI is the complement.
According to Gartner, over a third of the 8.4 billion connected "things" in use globally will be implemented inside companies. Here's how they should overcome the challenges to reap the rewards.