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RENO, Nev. (AP) — A Nevada firm says one of its drones has successfully completed the first fully autonomous package delivery in a residential area in the U.S.

Flirtey CEO Matt Sweeney says the six-rotor drone flew about a half-mile along a pre-programmed delivery route on March 10. It lowered the package outside a vacant residence in an uninhabited area of Hawthorne, southeast of Reno. The route was established using GPS. A pilot and visual observers were on standby during the flight but weren’t needed.

The package included bottled water, food and a first-aid kit.

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When the apocalypse comes, it won’t do so on four rotors. Drones, especially drones-as-we-know-them—the affordable, commercially available quadcopters—are only really engines of their own destruction. Zoltan Istvan, transhumanist candidate for President, wrote today that the American constitution is unprepared for the challenges of swarming robots. With all due I respect, I couldn’t possibly disagree more.

The Second Amendment Isn’t Prepared for a 3D-Printed Drone Army”, Istvan argues, and vividly sets a scene of total despair:

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HOUSTON, March 23, 2016 /PRNewswire/ — Heath Consultants Incorporated (Heath) in collaboration with Physical Sciences Inc. (PSI), is adapting the industry-leading laser-based Remote Methane Leak Detector (RMLD®) for mounting on the InstantEye®, PSI’s two-foot-wide quadrotor Unmanned Aerial Vehicle featuring highly advanced autonomy and all-weather operation. This technology combination, known as the RMLD® Sentry, will implement self-directed flight patterns to continuously monitor, locate, and quantify volumetric leak rates of methane, a potent greenhouse gas, from natural gas production sites.

Photo — http://photos.prnewswire.com/prnh/20160323/347391

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At the recent RSA Conference it was virtually impossible to find a vendor that was not claiming to use machine learning. Both new and established companies are now touting “machine learning” as a major component of the data science being used in their products. What the heck is machine learning anyway? And is it really going to reshape cyber security in 2016?

For brevity’s sake, I’ll define machine learning as the science of getting computers to act without being explicitly programmed. Over the past decade, machine learning has enabled self-driving cars, practical speech recognition, effective web search, and has vastly improved our understanding of the human genome. Machine learning is so pervasive today that we use it dozens of times a day without knowing it. Many researchers also think machine learning is the best way to make progress towards human-level Artificial Intelligence.

[ MORE MACHINE LEARNING: Machine learning: Cybersecurity dream-come-true or pipe dream? ].

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Deep Dream watches The Matrix red pill blue pill scene and looks like an LSD trip.

Google Deep Dream Neural Network Software watches the matrix red pill and blue pill scene. Please take into consideration the growing speed of neural networks and their potential to invent themselves. Soon this technology may grow too big to control. Ban it in your country to keep pandoras box out of the hand of the rich and greedy.

http://facebook.com/scionist

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