Enter a world of ancient Chinese temples, take a hike at The Great Wall and discover what lies beyond the majestic mountain ranges in "Minecraft: Console Edition Chinese Mythology Mash-Up Pack." The newest pack for 4J Studios' console version of "Minecraft" is set to bring a ton of new content to gamers this October. The mash-up, which centers on ancient China, features a pre-made world that does not only speak of the ancient Chinese architecture, but also the mythology of the dragons that is embedded in the country's history. In a blog post on the official PlayStation website, "Minecraft" product marketing manager Jeff Rivait revealed that the "Chinese Mythology Mash-Up Pack" for "Minecraft: Console Editions" comes with 41 skins and 13 music tracks. Rivait also noted that players, who are enjoying the "Battle" mini-game they launched in June, will like how this mash-up also comes with a special map just for the mini-game.

Most of the systems on the market will clock anywhere around 55-65% for unseen data, even though they might be 85% accurate in their cross-validations. At this juncture, it's important to realize that sentiment analysis is critical for any system monitoring customer reviews or social media posts. Hardly had the business world caught up with a sentence level sentiment analysis, we are now moving to aspect level sentiment analysis - more directed & granular, adding to the complexity. The question is this - can we do something to augment our sentiment analysis? For the past few months, I have been using context and relationship extraction to augment sentiment analysis.

A recurring motif put our divided-mind anti-hero Elliot Alderson (Rami Malek) -- and by extension, us, his "hello, friend" buddy -- in the backseat of a car and took us for wild rides by mad men and toady tools. This was the premise of the madly meta "Mr. Robot" sitcom, when Mr. Robot (Christian Slater), Elliot's rogue alter-ego and frequent altered state, seized the wheel of his consciousness and took him on a great escape. This was the cliffhanger of last week's trippy and tricky outing, with Elliot riding shotgun in a cab with a dark passenger he thought was dead, Tyrell Wellick (Martin Wallstrom). He freaked and demanded his immediate release, a hair-pulling panic that might have spoken for us, too. Such was the thrill, frustration, and meaning of season 2, a saga of identity crisis run amok in a high anxiety culture on the blink and on the brink. All of its characters became unreliable narrators of themselves, and their distortions and their dimness became threatening to everyone as they executed reckless campaigns for change. Each of them had ideas for how to make the world great again.

Transport ministers from the Group of Seven advanced economies agreed Sunday to strengthen cooperation in the railway and airline sectors as they wrapped up their three-day meeting in the resort town of Karuizawa, Nagano Prefecture. Prior to the conclusion of the gathering, ministers from Britain, Canada, France, Germany, Italy, Japan and the United States plus the European Union adopted a declaration Saturday pledging to reinforce international cooperation in creating safety regulations to promote self-driving cars. The conference was the last of the ministerial meetings related to May's G-7 leaders' Ise-Shima summit in Mie Prefecture. "We will cooperate with each other and exercise leadership to support the early commercialization of automated and connected vehicle technologies," the declaration adopted at the Saturday meeting said. "We obtained a common understanding to make efforts in the same direction to create regulation frameworks that (will) tend to vary depending on region," transport minister Keiichi Ishii told a news conference after the meeting.

This intelligence, the Artificial General Intelligence, shall solve all our problems and the entire world is working on it. But the current Artificial Intelligence is mostly at the level of robotics. Fact is, that problem awareness is increased, we have recognized that we need to bundle our capacities to create something that helps mankind to find solutions against the most urgent problems, resource scarcity, world hunger, diseases, and social turmoil. In search of that Super Computer, the Super Intelligence, we forget that our planet has 7 billion super intelligences walking around and they are all waiting to give a meaning to their lives and bring in their cognitive-emotional talents: Humans. We try to walk with crutches whilst we already sit in a Formula 1 racing car.

U.S. Transportation Secretary Anthony Foxx said Sunday that his counterparts in the Group of Seven developed nations welcomed U.S. guidelines on regulating self-driving cars and have agreed to work together on creating such standards to maintain safety. "There was actually a very enthusiastic reception to the policy," he said. "We did a good job of inventorying what each country is doing and laying out areas that we want to explore further." Such issues include cybersecurity, ethics and privacy, wireless spectrum questions and many other issues, he said, while noting that reaching a resolution might take years, meaning the technology will be moving faster. Foxx called the U.S. guidelines released earlier this month the most comprehensive on autonomous vehicles, coming out ahead of the rest of the world.

Most fintech companies offer better interfaces for handling money (bank accounts, loans, payments, etc.), but quite a few startups are also offering a solution for a much older need than how to make money. Israel company I Know First, managed by CEO Yaron Golgher, is one of these. The company's main product is an algorithm that provides a forecast for three thousand different investment instruments, including shares, commodities, interest rates, foreign currency, exchange traded funds (ETFs), and global indices. "The algorithm rates all the investment instruments, and singles out investment opportunities in the capital market on a daily basis, according to the pricing anomaly it finds," Golgher says in a "Globes" interview. Golgher: "The algorithm is self-learning. It is based on purely quantitative values, not reading news or any kind of analysis. There is no human factor here. The algorithm uses artificial intelligence, an area in which huge companies like Apple Computers, Google, and Facebook have recently been making massive investments. The algorithm was developed by our development team, headed by cofounder and CTO Dr. Lipa Roitman. Roitman is a scientist from the Weizmann Institute of Science with over 20 years of experience in the specific field of artificial intelligence, machine learning, and algorithms. The forecast is given for a period of time. What is interesting is that for every forecast, the algorithm also assigns a probability that the forecast will be fulfilled. Every customer can receive a forecast according to his investment preferences. For example, a person investing in technology shares can receive the best opportunities in this segment, a customer investing in commodities will receive the best opportunities in the commodities market, etc." "We have expanded this year to 12 new countries, including the US and Europe, with an emphasis on Italy and France, and Russia, too. We work with Latin America, especially Brazil. The business model is based on access to the algorithm to a varying extent, according to the customer's size."

U.S. Transportation Secretary Anthony Foxx says his counterpart ministers from the Group of Seven nations welcomed the new U.S. guidelines on regulating self-driving cars at a weekend meeting in Japan, and they agreed to work together to maintain safety.

Developing a computer that can be as decisive and intelligent as humans is on IBM's mind, and it's making progress toward achieving that goal. IBM's computer chip called TrueNorth is designed to emulate the functions of a human brain. The company is now running tests and benchmarking TrueNorth to demonstrate how fast and power efficient the chips can be compared to today's computers. The results of the head-to-head contest are impressive. IBM says TrueNorth can engage in deep learning and make decisions based on associations and probabilities, much like human brains.

AI has been making great strides in the past few years, beating humans at our own game, as well as augmenting and even replacing human controlled systems. However, some are still not impressed with these developments and feel more should be done. Such is the view of Professor Alexi Samsonovich, who announced that Russia "is on the verge" of a major AI milestone--robots that can feel human emotion! The announcement was made during the 2016 Annual International Conference on Biologically Inspired Cognitive Architectures (BICA) in New York City. Specifically, Samsonovich pointed to free thinking machines capable of feeling and understanding human emotions, understanding narratives and thinking in those narratives, as well as being capable to actively learn on their own.