-- Finding meaningful communities in social network has attracted the attentions of many researchers. The community structure of complex networks reveals both their organization and hidd en relations among their constituents. Most of the researches in the field of community detection mainly focus on the topological structure of the network without performing any content analysis. Nowadays, real world social networks are containing a vast r ange of information including shared objects, comments, following information, etc. In recent years, a number of researches have proposed approaches which consider both the contents that are interchanged in the networks and the topological structures of th e networks in order to find more meaningful communities. In this research, the effect of topic analysis in finding more meaningful communities in social networking sites in which the users express their feelings toward different object s (like movies) by the means of rating is demonstrated by performing extensive experiments. With the emergence of social networks, people have been attracted to them, and have been sharing valuable information by means of communicating with each other. For example, folksonomies are social tagging sites which their users collaboratively express th eir feelings and sentiments toward a special resource like a movie or music by means of descriptive keywords (tags) [1] or ratings. One of the most important issues considered when analyzing these kinds of network s is community detection.

Classification Ensemble, which uses the weighed polling of outputs, is the art of combining a set of basic classifiers for generating high-performance, robust and more stable results. This study aims to improve the results of identifying the Persian handwritten letters using Error Correcting Output Coding (ECOC) ensemble method. Furthermore, the feature selection is used to reduce the costs of errors in our proposed method. ECOC is a method for decomposing a multi-way classification problem into many binary classification tasks; and then combining the results of the subtasks into a hypothesized solution to the original problem. Firstly, the image features are extracted by Principal Components Analysis (PCA). After that, ECOC is used for identification the Persian handwritten letters which it uses Support Vector Machine (SVM) as the base classifier. The empirical results of applying this ensemble method using 10 real-world data sets of Persian handwritten letters indicate that this method has better results in identifying the Persian handwritten letters than other ensemble methods and also single classifications. Moreover, by testing a number of different features, this paper found that we can reduce the additional cost in feature selection stage by using this method.

Buddhist monks in China have harnessed technology to create a robot monk. The 2-foot tall robot is called Xian'er and can chant Buddhist mantras, move via voice command and even hold a simple conversation, according to Reuters. Xian'er resembles a novice monk and "lives" at Longquan temple on the outskirts of Beijing. The cartoon-style robot holds a touchscreen to its chest and can answer about 20 questions on Buddhism and daily life. Master Xianfan, Xian'er's creator, described the robot as the perfect vessel for spreading the wisdom of Buddhism in China, via the fusion of science and Buddhism.

In a small startup space just down the street from UC Berkeley's campus, robotics pioneer Homayoon Kazerooni is bragging about how no-frills his invention is. "We're trying to make the Honda," he says, "not the sportscar." Kazerooni is showing me his latest robotic exoskeleton that gives paraplegics and people with mobility problems the ability to stand up from their wheelchairs and walk again. He's been building such bionic systems for more than a decade, and back in 2005 he cofounded Ekso Bionics, the current market leader for exoskeletons. So it's no surprise that Kazerooni says the new device from his new company, SuitX, is the most advanced yet.

I recently spoke at the Deloitte Shared Services and Outsourcing Executive Forum at Deloitte University. The audience's interest level in automation strategies was high. For the most part, Deloitte doesn't outsource directly, but only provides consulting services to its clients about outsourcing and shared services strategies, so the event and this essay seem appropriate venues to discuss the impact of "cognitive automation" technologies on the outsourcing industry. I use quotation marks around the term "cognitive automation" because though I am told that that is the preferred term these days at Deloitte, I am still getting used to it. I like the term because it suggests a broad approach that goes beyond current automation-oriented technologies and methods.

Hacked data from more than 1.1m members of an'elite' dating site has been sold online, it has been claimed. The controversial site, BeautifulPeople.com, was hacked in November and details including sexual preferences, income, addresses and 15 million messages between users were stolen. Now it has been claimed by Forbes the data has been sold online to a mystery buyer. The controversial site, BeautifulPeople.com, was hacked in November and details including sexual preferences, income, addresses and 15 million messages between users were stolen. BeautifulPeople is the first community of its kind.

With Earth Day come and gone the initiative to save our planet is fresh in our minds. And that's not limited to global warming and putting a stop to pollution; poaching remains a big problem when it comes to preserving the world around us. Luckily researchers have been testing out how we can use scientists to help the fight against poaching. According to Science Daily, organizations such as the National Science Foundation (NSF) and the Army Research Office have teamed up to look into how artificial intelligence (AI) could be used to stop poaching and illegal logging. Led by scientists at the University of South Carolina (USC), researchers have found ways to use game theory, or the mathematical theory of conflict and cooperation, to protect parks in a more proactive way.

Golfers in Japan will soon be able to get drinks, snacks, and other products delivered to them by drone while they're out on the course. Rakuten, a major Japanese shopping portal, will launch the drone delivery service in May at a course in Chiba, to the east of Tokyo. Golfers will be able to order from a menu of roughly 100 items through a dedicated Android app, and each drone delivery will be limited to 2kgs of goods. The service will be offered daily from 8:30 a.m. to 3 p.m. and suspended during bad weather. To operate the service, Rakuten has a dedicated drone depot where an operator will pack the goods and set the delivery location.

DUBAI, United Arab Emirates (AP) -- Already home to the world's biggest skyscraper, Dubai has another tall order to fill: By 2030, its leader wants 25 percent of all trips on its roads to be done by driverless vehicles. Monday's announcement by Sheikh Mohammed bin Rashid Al Maktoum came without warning and with few details, as is sometimes the case with the many aspirations of the leadership of the United Arab Emirates. In this car-crazed city-state of over 1.5 million registered vehicles, it's not unusual to see Ferraris idling alongside Lamborghinis at traffic lights. And Dubai already is home to a driverless Metro rail system, which carried 178 million riders in 2015. Smart-car technology is being used in some of the world's luxury vehicles, and it is advancing rapidly enough for the plan to become a reality -- or a nightmare for the thousands of taxi drivers who now plying the streets among the sleek skyscrapers in the UAE's commercial capital.

Dubai's ruler, Sheikh Mohammed bin Rashid Al Maktoum, announced plans Monday to have 25 percent of all car trips in this city-state in the United Arab Emirates to be driverless by 2030. In a statement carried by the state-run WAM news agency, Sheikh Mohammed said it would cut down on costs and traffic crashes. He said the project would be a joint venture by Dubai's Roads and Transport Authority and the Dubai Future Foundation. Already, Dubai is home to a driverless Metro rail system. It also has a number of taxi companies, driven by a large foreign labor force.