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Posted in futurism
Artificial intelligence and drones will be key policing tools in the future amid budget and job cuts, Gwent Police’s chief constable has said.
Jeff Farrar said he foresees every police vehicle carrying a drone in the years to come and for more computers to do jobs “that do not involve emotion”.
Gwent has had £50m of funding cuts and still needs to make £9m of savings. It has also lost 300 officers since 2011.
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Science fiction has always provided an outlet where we can let our imaginations run wild about the possibilities of technological advances. Not long ago, science fiction concepts like self-aware robots, autonomous cars, or 3D printers may have been unimaginable, but we’re watching many of these things come to life before our eyes in the digital age.
Deep learning was previously a technology that seemed straight from the plot of the latest blockbuster, yet these days it’s no longer fiction and is proliferating across real-life applications. Deep learning, which falls under the umbrella of technologies known as artificial intelligence (AI), teaches machines to mimic the thought and decision-making processes of the human brain. Computers are trained using extremely large historical datasets to help them adapt and learn from prior experience, identify anomalous patterns in large datasets, and improve predictive analysis.
These techniques are becoming so popular that Gartner recently named AI and Advanced Machine Learning (which includes technologies such as deep learning) their #1 Strategic Technology Trend for 2017. The firm went on to predict that these technologies will begin to increasingly augment and extend virtually every technology-enabled service, thing, or application, and therefore will become the primary battleground for technology vendors through at least 2020.
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Pause for a second and look outside your window at a bird, a squirrel, or even an insect. These organisms all perform complex tasks that involve perceiving food and threats, navigating around trees, and following or hiding from other animals. There is not a robot or a drone on the planet that can do what these bugs and small animals can easily do.
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LOS ANGELES—The grave implications of his vanity dawning on him, local man Ed Paitz realized what an arrogant fool he’s been after skipping the moving walkway at Los Angeles International Airport, sources said Thursday. “My god, what have I done?” said a despairing Paitz, realizing that, alas, he must live with the sorrowful consequences of his own hubris and proceed down the carpeted corridor on his own two feet, watching in shame as other travelers with the humility to board the conveyor platform flowed past him with ease. “My pride—my accursed pride—has brought me to this! Like Icarus and Arachne before me, let my tale serve as a warning to all those who would surrender to the vile temptations of the ego.” At press time, redemption lay at hand, as the moving walkway was ending with a small gap before the next one began.
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If what you want to do is to apply machine learning toolkits to datasets, then you don’t need to study much. Study the field to which you want to apply machine learning, then maybe the good old text “Data Mining: Practical Machine Learning Tools and Techniques” … then when you want to apply some particular machine learning technique, look up a paper or two on that technique and read it…
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Synopsis:
Up till now, what men know the least about is still themselves, their brains in particular. If men do not understand their brains, there is no way for bionic AI and machine brains. In this dialogue, many scientists discuss the development of.
AI and the positive meaning of AI to today’s society.
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Audio engineering can make computerized customer support lines seem friendlier and more helpful.
Say you’re on the phone with a company and the automated virtual assistant needs a few seconds to “look up” your information. And then you hear it. The sound is unmistakable. It’s familiar. It’s the clickity-clack of a keyboard. You know it’s just a sound effect, but unlike hold music or a stream of company information, it’s not annoying. In fact, it’s kind of comforting.
Michael Norton and Ryan Buell of the Harvard Business School studied this idea —that customers appreciate knowing that work is being done on their behalf, even when the only “person” “working” is an algorithm. They call it the labor illusion.
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