As artificial intelligence (AI) continues to advance, researchers at POSTECH (Pohang University of Science and Technology) have identified a breakthrough that could make AI technologies faster and more efficient.

Artificial intelligence (AI) is increasing productivity and pushing the boundaries of what's possible. It powers self-driving cars, social media feeds, fraud detection and medical diagnoses. Touted as a game changer, it is projected to add nearly US$15.7 trillion to the global economy by the end of the decade.

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various components that must work together to make an effective and efficient robot, is an increasingly important subject for software designers to tackle. Now, researchers at MIT have developed an entirely new way of approaching these complex problems, using simple diagrams as a tool to reveal better approaches to software optimization in deep-learning models.

An unrelenting, ravenous appetite for more and more data may be artificial intelligence's fatal flaw; or at least the fastest way for "poison" to seep in.

In the heart of New York City's Times Square, there are signs of an artificial intelligence (AI) revolution in marketing. In a health supplement store, a popup by British tech startup, Hypervsn, showcases life-size holograms. From behind the glass, a virtual humanoid avatar with spunky pink hair waves to passersby.