Despite the advancements made in artificial intelligence so far, the Defense Advanced Research Projects Agency (DARPA) believes there is still more work to be done. DARPA is launching the Artificial Intelligence Exploration (AIE) program as part of its broader AI investment strategy. "DARPA has established a streamlined process to push the state of the art in AI through regular and relatively short-term technology development projects," said Peter Highnam, DARPA's deputy director. "The intent is to get researchers on contract quickly to test the value and feasibility of innovative concepts. Where we're successful, individual projects could lead to larger research and development programs spurring major AI breakthroughs."

Summary: Just where are we in the Age of AI, where are we going, and what happens when we get there? When things are changing fast, sometimes it's necessary to take a step back and see where you are. It's very easy to get caught up in the excitement over the details. The individual data science technologies that underlie AI are all moving forward on different paths at different speeds, but all of those speeds are fast. So before you change careers or decide that your business'needs some of that AI' let's fly up and see if we can make out a larger pattern that will help us understand where we are and where we're going.

Following news of the event, the U.S. military is dispatched to an area where residents speak a little-known language with multiple dialects. En route to the site, the emergency team feeds the location and the region's primary linguistics into a database that deciphers enough conversation to enable military commanders to communicate with local leaders. Such a capability would offer U.S. officials a chance at triage before a humanitarian aid effort begins and, in the process, improve recovery efforts, says John Launchbury, the former director of the Information Innovation Office at the Defense Advanced Research Projects Agency (DARPA). Pentagon leaders now say this kind of machine learning and data analysis is critical to maintaining military effectiveness. Machine learning is a type of artificial intelligence that allows technology to evolve as it absorbs new information.

Summary: Just where are we in the Age of AI, where are we going, and what happens when we get there? When things are changing fast, sometimes it's necessary to take a step back and see where you are. It's very easy to get caught up in the excitement over the details. The individual data science technologies that underlie AI are all moving forward on different paths at different speeds, but all of those speeds are fast. So before you change careers or decide that your business'needs some of that AI' let's fly up and see if we can make out a larger pattern that will help us understand where we are and where we're going.

Artificial intelligence boosters predict a brave new world of flying cars and cancer cures. Detractors worry about a future where humans are enslaved to an evil race of robot overlords. Veteran AI scientist Eric Horvitz and Doomsday Clock guru Lawrence Krauss, seeking a middle ground, gathered a group of experts in the Arizona desert to discuss the worst that could possibly happen - and how to stop it. Their workshop took place last weekend at Arizona State University (ASU) with funding from Tesla co-founder Elon Musk and Skype co-founder Jaan Tallinn. Officially dubbed "Envisioning and Addressing Adverse AI Outcomes", it was a kind of AI doomsday games that organised some 40 scientists, cyber-security experts and policy wonks into groups of attackers - the red team - and defenders - blue team - playing out AI-gone-very-wrong scenarios, ranging from stock-market manipulation to global warfare.

Artificial intelligence boosters predict a brave new world of flying cars and cancer cures. Detractors worry about a future where humans are enslaved to an evil race of robot overlords. Veteran AI scientist Eric Horvitz and Doomsday Clock guru Lawrence Krauss, seeking a middle ground, gathered a group of experts in the Arizona desert to discuss the worst that could possibly happen -- and how to stop it. Their workshop took place last weekend at Arizona State University with funding from Tesla Inc. co-founder Elon Musk and Skype co-founder Jaan Tallinn. Officially dubbed "Envisioning and Addressing Adverse AI Outcomes," it was a kind of AI doomsday games that organized some 40 scientists, cyber-security experts and policy wonks into groups of attackers -- the red team -- and defenders -- blue team -- playing out AI-gone-very-wrong scenarios, ranging from stock-market manipulation to global warfare.