Abstract--Clustering explores meaningful patterns in the non-labeled data sets. Cluster Ensemble Selection (CES) is a new approach, which can combine individual clustering results for increasing the performance of the final results. Although CES can achieve better final results in comparison with individual clustering algorithms and cluster ensemble methods, its performance can be dramatically affected by its consensus diversity metric and thresholding procedure. There are two problems in CES: 1) most of the diversity metrics is based on heuristic Shannon's entropy and 2) estimating threshold values are really hard in practice. The main goal of this paper is proposing a robust approach for solving the above mentioned problems. Accordingly, this paper develops a novel framework for clustering problems, which is called Weighted Spectral Cluster Ensemble (WSCE), by exploiting some concepts from community detection arena and graph based clustering. Under this framework, a new version of spectral clustering, which is called Two Kernels Spectral Clustering, is used for generating graphs based individual clustering results. Further, by using modularity, which is a famous metric in the community detection, on the transformed graph representation of individual clustering results, our approach provides an effective diversity estimation for individual clustering results. Moreover, this paper introduces a new approach for combining the evaluated individual clustering results without the procedure of thresh-olding. Experimental study on varied data sets demonstrates that the prosed approach achieves superior performance to state-of-the-art methods. Clustering, the art of discovering meaningful patterns in the non-labeled data sets, is one of the main tasks in machine learning.

Group discussions are essential for organizing every aspect of modern life, from faculty meetings to senate debates, from grant review panels to papal conclaves. While costly in terms of time and organization effort, group discussions are commonly seen as a way of reaching better decisions compared to solutions that do not require coordination between the individuals (e.g. voting)---through discussion, the sum becomes greater than the parts. However, this assumption is not irrefutable: anecdotal evidence of wasteful discussions abounds, and in our own experiments we find that over 30% of discussions are unproductive. We propose a framework for analyzing conversational dynamics in order to determine whether a given task-oriented discussion is worth having or not. We exploit conversational patterns reflecting the flow of ideas and the balance between the participants, as well as their linguistic choices. We apply this framework to conversations naturally occurring in an online collaborative world exploration game developed and deployed to support this research. Using this setting, we show that linguistic cues and conversational patterns extracted from the first 20 seconds of a team discussion are predictive of whether it will be a wasteful or a productive one.

Narratives are made by the artful omission of facts. Never was this maxim more evident than in a gullible feature story that landed on the front page of the New York Times last fall, about a young woman's last-ditch bid for life extension as she succumbed to the ravages of brain cancer. A sober look at the case would have revealed it to be but the latest botched mortuary procedure conducted by a gang of creepy scam artists. Instead, through the good graces of the Times, this grim tale was spun into an inspirational saga of one person's courageous quest for a second chance at life, aided by medical visionaries on the verge of miraculous technological breakthroughs. Kim Suozzi died at age twenty-three in January 2013. After her first diagnosis, twenty-one months earlier, Suozzi chose to become one of the youngest people ever[*] to undergo an expensive form of ritualistic corpse mutilation called cryonic preservation. In pop culture, cryonics is perhaps best known as the plot device that transports the schlubby pizza delivery guy in Matt Groening's animated series Futurama into the thirty-first century. The decades-old quack procedure, which involves freezing corpse parts for later resuscitation, was for a long time apocryphally associated with such wealthy eccentrics as Walt Disney. It then caused a scandal in 2002 when it was widely reported that the body of baseball great Ted Williams had gone into deep freeze against the wishes of some in his family. In recent years, cryonics has regained an entirely undue aura of respectability as the thought leaders of Silicon Valley have trained their enterprising, disruptive vision on the conquest of disease and death.[**] Suozzi, an agnostic libertarian and aspiring neuroscientist, began taking cryonics seriously after discovering the work of the futurologist Ray Kurzweil through a cognitive science class at Truman State University in Missouri. After surgery and other treatments failed to stop the growth of her brain tumor, Suozzi determined that upon death she--or rather, her head--would be frozen and stored for decades, centuries, or millennia in the hope that one day, diligent, wonder-working doctors would transplant her consciousness into a new, healthy body, or perhaps onto a high-capacity hard drive. As a tech-savvy millennial, Suozzi turned to the chat website Reddit for help in raising the 80,000 she needed to fulfill her last wish. That got her well on her way, with about 7,000 reportedly raised.

The 2016 Summer Movie Preview is a snapshot of the films opening through early September. Release dates and other details, as compiled by Kevin Crust, are subject to change. The view of Earth from space and the information it reveals about humanity's effect on the planet are examined in this large-format science documentary. Business suddenly picks up for a London kosher baker when his young Muslim apprentice accidentally drops a stash of pot into the mixer. Written by Yehudah Jez Freedman and Jonathan Benson. The kidnapping of a beloved kitty forces two naive cousins to infiltrate a street gang. Written by Peele & Alex Rubens. In 1913 Cambridge, England, a young Indian math genius joins forces with an eccentric professor. Written and directed by Matthew Brown. Written by Lily Hollander, Anya Kochoff Romano. After an auto accident, a young woman finds herself in a life at odds with the one she remembers. Written by Doc Pedrolie and Victoria Arch. The famous writer's downward spiral is witnessed by a young reporter during the revolution. With Minka Kelly, Giovanni Ribisi, Joely Richardson, Adrian Sparks. A lonely lombax and a tiny robot team with the Galactic Rangers to save their world in this animated adventure.

Researchers from MIT's Computer Science and Artificial Laboratory (CSAIL) alongside machine learning-startup PatternEx have created a new cybersecurity defense system that makes use of both unsupervised and supervised learning methods. Human analysts are then presented with the data and given an opportunity to identify actual attacks, which are then fed back into the machine. The system learns and refines its accuracy over time. CSAIL research scientist Kalyan Veeramachaneni, one of AI,2's co-creators, described it this way: "The more attacks the system detects, the more analyst feedback it receives, which, in turn, improves the accuracy of future predictions. That human-machine interaction creates a beautiful, cascading effect."

Poachers have a new enemy: artificial intelligence. Scientists have developed an AI system that can continuously learn and adapt to illegal activities and help rangers move swiftly to protect endangered animals in the wild. Researchers are using artificial intelligence (AI) to solve increasing poaching activities, applying computer science and game theory to lead the innovation to outwit poachers in the wild. A team of scientists have successfully created an AI system that "learns" information and uses data to map out ranger patrols that are most effective in protecting endangered animals living in the wild. These ranger patrols are still the most direct wildlife protection methods against poachers.

According to Weisensee et al., Data warehouse architecture follows following principles: ETL process is the foundation of BI. Success and failure of BI projects depends upon ETL process. It plays a vital role to integrate and enhance the worth of data. After the extraction, cleansing and arrangement of data, it will be loaded into data warehouse. In short, ETL is the transferring process of data from data source to the target data warehouse.

Justin Sullivan/GettyEatsa is San Francisco's fully automated fast food restaurant where orders appear in a cubby. At San Francisco's first fully automated restaurant, meals appear in little glass cubbies, just 90 seconds after customers order and pay on wall-mounted iPads. It's a human-less experience – no waitstaff, no cashier, no one to get your order wrong and no one to tip. The moment before the meal appears, the see-through display screen that fronts the cubbies goes black for the few seconds when you might catch sight of the hand that feeds you. Eatsa has not yet achieved total automation.

Unlike Consumer IoT, Industrial IoT (IIoT) is applied to manufacturing and supply chain environment, the under development segment in IoT segment. IIoT is expected to create vivid impact across the ecosystem players and industry verticals like governments, city infrastructure, aviation, power generation, transportation and many more. Without any doubt IIoT is going to create real market opportunity for IoT. The inherent journey began during the era of Industry 1.0 when mechanization of production system revolutionizes the world and real race of industrialization starts. Since then industries went through several innovations and upgradation such as mass production, assembly line, division of labor, electricity, automation of production process, and integration with IT system throughout the journey of Industry 2.0 and Industry 3.0. The emergence of robust internet connectivity & network, IoT technologies, industrial robotics, cloud based technologies, and intelligent machines pushed the whole concept of industry into a new shape called Industry 4.0, the fourth industrial revolution.

Despite plans to invest in machines and artificial intelligence as part of their strategy to boost productivity, many automotive and industrial equipment companies are failing to implement the measures needed to harness these capabilities, according to a new report from Accenture. The report, "Machine dreams: Making the Most of the Connected Industrial Workforce," is based on interviews with more than 500 business executives in Asia, Europe and the United States involved in setting their company's strategy for the connected industrial workforce. According to the report, manufacturing and production are undergoing rapid change as machines and AI are becoming closely integrated with personnel, creating the connected industrial workforce. By combining mobile, safety and tracking technologies with analytics, companies are enhancing the activities of an industrial worker. The report concludes that the creation of a connected industrial workforce is already part of the business strategy of the majority of automotive and industrial equipment producers, cited by 94 percent of respondents.