The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could. In 2007, some of the leading ...

With the assistance of artificial intelligence (AI) and machine learning (ML), predictive network technology alerts administrators to possible network issues as early as possible and offers potential ...

Predictive analytics can reveal lurking network problems before they impact reliability or performance. Once considered a futuristic technology, predictive analytics is poised to become a mainstream ...

The artificial intelligence systems that guide drones and self-driving cars rely on neural networks—trainable computing systems inspired by the human brain. But the digital computers they run on were ...

McDermott Will & Emery took advantage of new e-discovery technology when members of its antitrust and discovery groups negotiated with the U.S. Department of Justice to develop a mutually acceptable ...