Recently, a number of noteworthy results have been achieved in various fields of artificial intelligence, and many aspects of the problem solving process have received significant attention by the scientific community. In this context, the extraction of comprehensive knowledge suitable for problem solving and reasoning, from textual and pictorial problem descriptions, has been less investigated, but recognized as essential for autonomous thinking in Artificial Intelligence. In this work we present a challenge where methods and tools for deep understanding are strongly needed for enabling problem solving: we propose to solve mathematical puzzles by means of computers, starting from text and diagrams describing them, without any human intervention. We are aware that the proposed challenge is hard and of difficult solution nowadays (and in the foreseeable future), but even studying and solving only single parts of the proposed challenge would represent an important step forward for artificial intelligence.

New Line Cinema's "It," now in its fourth week, returned to the top spot at the box office after temporarily being unseated by 20th Century Fox's spy sequel "Kingsman: The Golden Circle." Despite a 42% drop in earnings this week, the $35-million film, now the biggest September release ever (not adjusting for inflation), brought in $17.3 million for a cumulative total of $291.2 million in the U.S. and Canada and $553.1 million worldwide. The Stephen King adaptation, about a group of kids terrorized by an evil clown, was directed by Andy Muschietti and stars Bill Skarsgard ("Hemlock Grove") as Pennywise the Dancing Clown. "It" boasts a B rating on CinemaScore and an 85% "fresh" rating on review aggregation site Rotten Tomatoes. Universal Pictures' crime thriller "American Made," starring Tom Cruise, debuted in second place, earning $17 million this weekend, above analysts' expectations of $12 million to $15 million.

Using AI and deep learning to create a quick report on the statistics and quotes used should be relatively simple, scanning through complex and variable data sources to discover patterns that show whether information is correct or not. These tools could even check that images accompanying the article show the correct picture and context. A recent article on Breitbart, for instance, could see them end up in court after they used an image of Lukas Podolski, a German soccer player who has appeared for his country 130 times. The image of Podolski and another man appeared under the headline'Spanish police crack gang moving migrants on jet skis', but a 10 second Google image search would have shown that this was actually an image of Podolski on a Jet Ski trip during the Rio 2016 World Cup. A simple AI system would have picked this up almost instantly through image recognition and allowed them to avoid the embarrassment and potential law suit that Podolski is reportedly considering against them.

Hackl wins the Red Bull DR.ONE event in Austria Video provided by Reuters A link has been sent to your friend's email address. A link has been posted to your Facebook feed. Hackl wins the Red Bull DR.ONE event in Austria Video provided by Reuters Newslook

Richard Zemel, an AI consultant for the Toronto Raptors, tells Axios that among things that could transform a season are forecasting an opposing team's next play, or signaling whether, if you swap out one player for another, "we go on to win the championship." How it would work: For a picture of what we're talking about, I went to Rob Schumaker, a computer science professor at the University of Texas at Tyler and co-author of Sports Data Mining. That is all theoretical, though, because, as of now, sports AI is in its infancy: Mark Silver, president of Synergy Sports Technology, a data and analytics firm for basketball teams, says that at the moment, live, in-game forecasting is something from a "fantasy world." Not only has no one figured out how to predict plays or the future performance of players, but they also don't know how they would apply the knowledge if they obtained it. "You couldn't communicate the information fast enough" to players on the court, he said.

In a week where North Korea insisted that America had declared war and Puerto Rico suffered one of the worst natural disasters in its history, headlines were nonetheless dominated by a war of words between Donald Trump and the National Football League. Speaking in Alabama, the President declared that he would like to see NFL owners whose players knelt during the national anthem to "get that son of a b*tch off the field right now. Trump's comments insisting that players be compelled to stand during the national anthem put a spotlight a handful of NFL players who continued the protest initiated last year by former 49ers quarterback Colin Kaepernick. In response to Trump's comments, every NFL team – and nearly every owner – offered some version of protest in Week 3. The controversy around the NFL protests and Trump's comments raised many questions about the nature of peaceful protest, what the national anthem represents and, what rights are protected by the First Amendment. These are thorny, complicated questions, and researchers at Unanimous AI sought to untangle them by forming a swarm of thirty American voters inside our Swarm AI platform.

Clinton Loomis, known to many by his online alias Fear, had his first experience of arm pain in Dec. 2013. For more than a decade, Loomis has been a professional esports athlete for Defense of the Ancients (Dota) and Dota 2. At tournaments, his reputation precedes him. He is considered one of the best players in the games' history, with multiple first-place finishes in global competitions, earning him six- and seven-figure sums. Similar to traditional sports, the number of people who play Dota 2 is far greater than the number of people who can make a living from it. Professional gaming requires fine motor precision, encyclopedic knowledge and relentless practice. The average gamer plays video games for five to six hours per week.

Everybody digs the long ball. If you struck out that many times back in the day, your (butt) would be back in the minor leagues,

An unfortunate fact about humanity is that people lie. While this is a chronic issue for human relations, it's one that may be less of an issue for marketers of the future, thanks to non-human intervention. For most of marketing history, the best way to find out if consumers liked a proposed product was to ask them what they thought about it. But in focus groups especially, people tend to stretch the truth, undermining the value of the entire study. In recent years, AI has offered a huge boost to neuromarketing -- the science of reading consumers' minds to gauge their reactions to marketing stimuli. Here are three of the key technologies helping neuromarketers provide more effective marketing campaigns through AI integration.

Alexa has changed a lot in the last three years, but the Echo hasn't. The hefty monolithic cylinder still acts as most people's entrant into the Echo ecosystem. But today, Amazon announced a new, redesigned Echo that makes Alexa sound better, work better, and look better. The looks maybe matter most: The new Echo is considerably shorter than the last, like a mid-point between the Echo and the Dot. Amazon made six different shells for the thing, including a few wood-veneer options, to blend into your home a little better than a big black can of tennis balls.