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Dream interpretation: Difference between revisions - Wikipedia, the free encyclopedia
Dream interpretation is the process of assigning meaning to dreams. In many ancient societies, such as those of Egypt and Greece, dreaming was considered a supernatural communication or a means of divine intervention, whose message could be unravelled by people with certain powers. In modern times, various schools of psychology and neurobiology have offered theories about the meaning and purpose of dreams. Most people currently appear to interpret dream content according to the Freudian theory of dreams in countries, as found by a study conducted in the United States, India, and South Korea.[1] People appear to believe dreams are particularly meaningful: they assign more meaning to dreams than to similar waking thoughts. For example, people report they would be more likely to cancel a trip they had planned that involved a plane flight if they dreamt of their plane crashing the night before than if they thought of their plane crashing the night before or the Department of Homeland Security issued a Federal warning.[1] However, people do not attribute equal importance to all dreams.
Google's DeepMind tried to justify why it has access to millions of NHS patient records
DeepMind, an artificial intelligence company owned by Google, has attempted to justify why it needs access to millions of NHS patient records for a kidney monitoring app, after a new investigation from New Scientist questioned whether an ethical approval process should have been obtained first. The AI research lab, acquired by Google in 2014 for around 400 million, signed a data-sharing agreement with the Royal Free London NHS Foundation Trust on 29 September 2015. The agreement gives Google DeepMind access to the names, addresses, and medical conditions of the 1.6 million patients that are treated at Barnet, Chase Farm, and the Royal Free hospitals each year, as well as data on all patients treated by the Trust in the past five years. This week, New Scientist questioned why Google DeepMind needs access to so much data on so many people, including those who have never experienced kidney problems, for the app, which is called Streams. Streams -- used by Royal Free clinicians in three separate trials since December 2015 -- is designed to detect acute kidney injury (AKI), a condition that kills more than 1,000 people a month.
IBM's Watson Answers the Question, "What's the Difference Between Artificial Intelligence and Cognitive Computing?"
Prime time television viewers have undoubtedly noticed the slew of recent commercials featuring IBM's Watson computing platform in conversation with celebrities such as Bob Dylan, Carrie Fisher, Serena Williams, and Stephen King. These ads showcase continuing advances in Watson's speech capabilities and intelligence applied to various disciplines, which were initially exhibited in Watson's championship performance on the Jeopardy! The public and much of the press tend to think of such computing capabilities as "artificial intelligence" (a.k.a. AI), although that term can bring with it connotations of technology run amuck, ร la HAL 9000 in the film 2001: A Space Odyssey, The Terminator's Skynet, and many other popular depictions. Outside the realm of fiction, technology business leader Elon Musk has tweeted that AI is "potentially more dangerous than nukes," and physicist Stephen Hawking warned "development of full artificial intelligence could spell the end of the human race."
Submarine Robot Deployed in Search of Missing Flight EgyptAir MS804
Initial searches have revealed debris and personal belongings from the aircraft about 180 miles north of Alexandria. Further, the U.S. Navy's Sixth Fleet has contended that one of its patrolling aircrafts supporting the search had spotted more than 100 pieces of debris identified as having come from an aircraft. Now, the Egyptian authorities are bent on ensuing a much deeper search of the waterspace by employing deep sea search in order to retrieve the black box of the aircraft, which could provide clues as to what happened the night of the crash.
Key building blocks of DNA and proteins discovered by Rosetta spacecraft on 67P
They have been blamed for bringing worldwide destruction to Earth and triggering the kind of mass extinctions that wiped out the dinosaurs. But it appears we may owe our very existence to a comet that smashed into our planet billions of years ago. A spacecraft that has been orbiting a distant comet as it races through the solar system has sent back compelling evidence that suggests one of these icy objects brought the seeds of life to Earth. Comets are often thought of as harbingers of doom, causing mass extinctions and destruction on Earth. The European Space Agency's Rosetta spacecraft, which has been orbiting the duck-shaped Comet 67P/Churyumov-Gerasimenko since August 2014, has discovered two key building blocks of life on the enormous block of ice and dust.
Video Friday: Swarming UAVs, Perching RoboBees, and Skydiving Kamigamis
Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton rhymers. We'll also be posting a weekly calendar of upcoming robotics events for the next two months; here's what we have so far (send us your events!): Let us know if you have suggestions for next week, and enjoy today's videos. "The LOw-Cost Unmanned aerial vehicle Swarming Technology (LOCUST) is a prototype tube-launched UAV. The LOCUST program will make possible the launch of multiple swarming UAVs to autonomously overwhelm an adversary."
Google's upcoming Allo messaging app is 'dangerous', Edward Snowden claims
Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display
Power Up! Exosuit Helps You Lift Heavy Loads
If you're a soldier, firefighter or even a hiker, a new soft robotic suit could one day help you carry hefty loads, a new study finds. The wearable robot, or exosuit, reduces the amount of energy used while carrying a heavy weight by about 7 percent, on average, the researchers found. The suit also reduced the amount of work done by the hip, knee and ankle joints, all without affecting a person's stride, the researchers said. "The goal wasn't to create a system to give someone superstrength, but rather to provide small levels of assistance during walking over a long period of time, with the goal of reducing fatigue and the risk of injury," said study senior researcher Conor Walsh, a professor at the John A. Paulson School of Engineering and Applied Sciences at Harvard University in Massachusetts. Unlike a rigid exoskeleton or even a flashy Iron-Man-like suit, the exosuit Walsh and his colleagues built consists of textiles and soft materials that attach to a person's legs, waist and back.
Iron Man is closer as Vladimir Putin's scientists reveal 'Ivan the Terminator'
This metal marvel might just be the soldier of the future... but far from being science fiction, this one is real. Affectionately known as Ivan the Terminator, Project Iron Man is a humanoid military robot currently being developed in Russia. For years, the country has been trying to keep up with the U.S. and China, which are building robots, drones and other military hi-tech machines with great success. The aim of the Russian robot soldier is to'replace the person in the battle or in emergency areas where there is a risk of explosion, fire, high background radiation, or other conditions that are harmful to humans', Komosomolskaya Pravda reported. This humanoid military robot is currently being developed in Russia.
How 'robo recruiters' could affect your job prospects - BBC News
Next time you apply for a job, it could be a computer algorithm deciding whether or not you fit the bill. This is because clever, self-learning programs are getting better than human recruiters at analysing vast amounts of data gleaned from application forms, CVs (curricula vitae or resumes), and social media profiles. Not only can they see if your credentials match the basic requirements of the job description, they can identify personality traits from the way you've expressed yourself on paper and online. These algorithms try "to automate the 20-to-50 things the best recruiters do consciously or unconsciously" when shortlisting candidates, says Jon Bischke, chief executive of Entelo, a recruitment tech firm. But he doesn't believe we'll ever reach the point where the computer makes the final decision.