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Metadata is "data about data".[1] There are two "metadata types;" structural metadata, about the design and specification of data structures or "data about the containers of data"; and descriptive metadata about individual instances of application data or the data content. The main purpose of metadata is to facilitate in the discovery of relevant information, more often classified as resource discovery. Metadata also helps organize electronic resources, provide digital identification, and helps support archiving and preservation of the resource. Metadata assists in resource discovery by "allowing resources to be found by relevant criteria, identifying resources, bringing similar resources together, distinguishing dissimilar resources, and giving location information." [2] Definition[edit] Metadata (metacontent) is defined as the data providing information about one or more aspects of the data, such as: Metadata is data. Libraries[edit] Photographs[edit] Video[edit] Web pages[edit] [edit] [edit]

The Fastest Way to Get Clarity about Your Future Have you had this experience? You’re traveling in a new city, using your GPS to find your destination. But the route doesn’t seem to match reality. Suddenly, you’re in a strange place with cars buzzing by and no clarity about where to turn next. Courtesy of iStock/vonshots How do you get where you want to go? Every leader faces this at one time or another. So how can we find the clarity we need? I recently went through a period when I was second-guessing my brand direction and my entire mission. What did I do to find my footing? Admit I am confused. This last steps is incredibly liberating. This is something I teach in 5 Days to Your Best Year Ever. Once you’ve worked through the first four steps, don’t stall. We all find ourselves on the lost on the roadside from time to time or moving with only a vague sense of where we’re going. or upgrade to a self-hosted WordPress blog?

Off-Ramps: Or Why A Little Clarity Goes a Long Way Imagine you’re a college student asked to participate in a study about a college food drive. Here’s how it works: You’re asked to nominate two groups of peers — those “least likely” to contribute to the food drive and those “most likely” to do so. [1] Researchers, then, divide each group in half. They send half of the least likely group and half of the most likely group a letter. The letter addresses the students by name, asks them to donate a specific type of food, and includes a map showing where they can donate it. A few days later, researchers give these students a courtesy call to remind them. The other half of each group — again, half of the least likely group and half of the most likely — receive a different letter. Researchers address it “Dear Student” rather than use the individual’s name. These students don’t receive a courtesy call, either. Which do you think is more important — the inherent qualities of the students or the content of the letters? Here’s what actually happened: Why?

Barack Obama on Artificial Intelligence, Autonomous Cars, and the Future of Humanity IT’S HARD TO think of a single technology that will shape our world more in the next 50 years than artificial intelligence. As machine learning enables our computers to teach themselves, a wealth of breakthroughs emerge, ranging from medical diagnostics to cars that drive themselves. A whole lot of worry emerges as well. Who controls this technology? Will it take over our jobs? Is it dangerous? Scott Dadich: Thank you both for being here. Barack Obama: Busy. Dadich: I want to center our conversation on artificial intelligence, which has gone from science fiction to a reality that’s changing our lives. Obama: My general observation is that it has been seeping into our lives in all sorts of ways, and we just don’t notice; and part of the reason is because the way we think about AI is colored by popular culture. Obama: Right. Ito: But they underestimate the difficulties, and I feel like this is the year that artificial intelligence becomes more than just a computer science problem.

The development of artificial superintelligence Oxford philosopher Nick Bostrom (left) and DeepMind CEO Demis Hassabis (right).YouTube/Future of Life The head of Google DeepMind is worried that technology companies and individuals will fail to co-ordinate on the development of artificial superintelligence — defined by Oxford philosopher Nick Bostrom as "an intellect that is much smarter than the best human brains in practically every field, including scientific creativity, general wisdom and social skills." DeepMind CEO Demis Hassabis, whose company is arguably at the front of the race to develop human-level artificial intelligence (AI), said at The Future of Life's Beneficial AI conference in January that he wants (and expects) superintelligence to be created. But it's important that technology companies and individuals are open and transparent about their AI research, according to Hassabis. "What about all the other teams that are reading the papers and are not going to do that [stop and think] while you’re thinking?"

untitled The Difference Between Trying and Doing There’s an instructive scene in the Star Wars movie, The Empire Strikes Back. Yoda is instructing Luke Skywalker in how to use the Force. He asks Luke to retrieve his disabled spaceship out of a bog where it has sunk, using only his mind. Luke, of course, thinks this is impossible. Yoda patiently explains that it is only different in his mind. Yoda famously says, “No. Why Trying Doesn’t Work Tony Robbins gave similar advice to a woman who was struggling in her marriage. Tony went on to make a distinction that I think is vitally important. Tony said, “No, you picked it up. The woman looked confused. Tony continued, “No, now you’re not picking it up. Again, Tony, said, “No, you picked up the chair. Ever dreamed of launching your own self-hosted WordPress blog? Just Stop Trying The point is that when we say we are trying we don’t really have to do anything. Do you understand the difference? Where are you trying to improve? Are you trying to get in shape—or are you getting in shape? 1. 2. 3.

Cybernetics Cybernetics is a transdisciplinary[1] approach for exploring regulatory systems, their structures, constraints, and possibilities. Cybernetics is relevant to the study of systems, such as mechanical, physical, biological, cognitive, and social systems. Cybernetics is applicable when a system being analyzed incorporates a closed signaling loop; that is, where action by the system generates some change in its environment and that change is reflected in that system in some manner (feedback) that triggers a system change, originally referred to as a "circular causal" relationship. Some say this is necessary to a cybernetic perspective. System dynamics, a related field, originated with applications of electrical engineering control theory to other kinds of simulation models (especially business systems) by Jay Forrester at MIT in the 1950s. Norbert Wiener defined cybernetics in 1948 as "the scientific study of control and communication in the animal and the machine Definitions[edit] W. General

The Mistake Smart People Make: Being In Motion vs. Taking Action There is a common mistake that often happens to smart people — in many cases, without you ever realizing it. The mistake has to do with the difference between being in motion and taking action. They sound similar, but they’re not the same. Here’s the deal… Before we talk about how to get started, though, I wanted to let you know I researched and compiled science-backed ways to stick to good habits and stop procrastinating. Motion vs. Motion is when you’re busy doing something, but that task will never produce an outcome by itself. Here are some examples… If I outline 20 ideas for articles I want to write, that’s motion. Sometimes motion is good because it allows you to prepare and strategize and learn. It doesn’t matter how many times you go talk to the personal trainer, that motion will never get you in shape. Why Smart People Find Themselves in Motion If motion doesn’t lead to results, why do we do it? Sometimes we do it because we actually need to plan or learn more. 1. 2. Choose Action

Improving Teenagers’ Divergent Thinking With Improvisational Theater | Psychology Introduction In a fast changing century, many people in arts, science, teaching, management, or technology wonder how to innovate and produce novel and useful resources, which are the most widely accepted elements regarding the definition of creativity (Sternberg and Lubart, 1993; Ritter and Mostert, 2017). Considering this necessity to develop good creativity skills, many people turn to arts, mostly theater and music. Divergent Thinking Classic creativity models include the implication of associative processes (Megalakaki et al., 2012). Many psychological factors, cognitive and emotional, can influence divergent thinking (for review and full description of cognitive processes involved, see Megalakaki et al., 2012). Improvisational Theater Improvisational theater (improv) is a specific theater form in which the performance is spontaneous (i.e., without previous scenario written nor prepared). Cognitive Impact of Improvisation Materials and Methods Participants Materials Procedure TABLE 1.

Metadata: The definitions, mappings, and other characteristics used to describe how to find, access, and use the company’s data and software components.

Found in: Hurwitz, J., Nugent, A., Halper, F. & Kaufman, M. (2013) Big Data For Dummies. Hoboken, New Jersey, United States of America: For Dummies. ISBN: 9781118504222. by raviii Jan 1

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