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The 5 feet, 300 pound scooting robot is stacked with quite the resume of capabilities and because it delivers real-time data to a secure monitored location, it will minimize threats for human security officers that take on these dangerous jobs.

this venture gets some backing as security companies are looking for more innovative solutions to counter their turnover rates, some as high as 400%, Knightscope reports.

hese autonomous patrol units are doing the jobs that may be too dangerous for people and doing them better, backed with day and night 360-degree video capture, infrared and thermal scanning, proximity sensors, radar for real-time 3D mapping, and optical character recognition, allowing the K5 to never forget a face. Knightscope confirmed though that K5s are NOT intended to replace law enforcement, instead “to help and assist officers, improve response times and keep them out of harm’s way if possible.”

In 2014, the former director of both the CIA and NSA proclaimed that "we kill people based on metadata."

According to the documents, SKYNET engages in mass surveillance of Pakistan's mobile phone network, and then uses a machine learning algorithm on the cellular network metadata of 55 million people to try and rate each person's likelihood of being a terrorist.

 A flaw in how the NSA trains SKYNET's machine learning algorithm to analyse cellular metadata, Ball told Ars, makes the results scientifically unsound.