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DARPA’s New Mind Control Tech a “Taste of Armageddon?”

by on July 8, 2012 in Featured, Most Read, Tech

DARPA’s New Mind Control Tech a “Taste of Armageddon?”

On Friday we briefly covered at AMTV News an intriguing new development in the realm of neuroscience and its potential commercial and most likely military applications.  According to the BBC, the new project “Sentinel (SystEm for Notification of Threats Inspired by Neurally Enabled Learning)…is being touted as the world’s first ‘cognitive-neural’ binocular-threat warning system.

Sharon Weinberger explains how it works in practice:

“A high-tech camera scans a wide field of view, and then picks out potential threats based on sophisticated algorithms that mimic the human vision system. Then images of those threats are flashed in rapid succession through a viewer to the user, whose brain signals are being monitored. When the brain spots a potential threat and gives off the P300, the signal is detected and the user is visually alerted to focus on that specific image.”

The goggles were developed under a research project funded by the Pentagon’s Defense Advanced Research Projects Agency (DARPA).  It is an initial foray into “military neuro-enhancement using what is called a brain-machine interface.”  DARPA is preparing to embark on a veritable “brain race” funding similar brain-computer interface projects to help “intelligence analysts sort through satellite imagery.”

Commercial and medical applications are foreseeable including “controlling prosthetics” and for the “automotive industry” to help design safer cars.  According to the chief scientist Dr. Deepak Khosla of HRL Laboratories, however, the “holy grail of course” is whether or not these technologies can be designed to “decode higher level information” – to read minds.

Beyond mind reading the military applications proffer “more novel use of armed drones” ultimately allowing soldiers to fight remotely and brining up a host of ethical issues over “projecting human intelligence into a device” according to Jonathan Moreno, a professor of bioethics at the University of Pennsylvania.

Should an adversary use similar technologies the dynamics of future wars, where mass armies of drones fight each other under control of distant humans, would be wildly dissimilar to today’s.

Star Trek Episode: “A Taste of Armageddon”

In Gene Roddenberry’s first Star Trek series in 1967 the original crew of the USS Enterprise visit the planet Eminiar VII whose people fight a war with a neighboring planet.  However, once visiting the planet Captain James T. Kirk is warned by Eminiar leaders he should not have come because a Vendikar fusion bomb had just hit and killed a half million people.  The only problem is the capitol city is in pristine order, there are no signs of war and no destruction to speak of.

The crew of the Enterprise soon finds out that the people of Eminiar VII fight a totally simulated war, but it turns out to be no mere game of intergalactic Risk.  It is completely controlled by computer algorithms, which launch wargame attacks and counterattacks, then calculate the damage and select the dead.  Citizens deemed as “killed” must submit themselves to real executions inside “disintegration booths” based on the results.

While our current small wars have little resemblance to the World Wars of the last century and future wars waged against emergent nations of China and Russia may resemble the Cold War – proxy war – may take on a whole new meaning as both sides employ newer and newer technologies.

TopherMorrison

Topher Morrison is the editor and a regular contributor at GreeneWave and creator of his own blog at PurpleSerf.com. He holds B.A.s in Political Science and Philosophy from Arizona State University. Follow him on Twitter, Facebook and YouTube.

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  • sarfralogy - October 8, 2012

    According to a statement from DARPA, “CT2WS was built on the concept that humans are inherently adept at detecting the unusual.” Essentially this belief, which has been extensively studied by cognitive scientists, deals with how humans filter extensive amounts of data so that situational awareness can be maintained even in “noise” heavy environments. http://bit.ly/QPP80M

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