#remote mind control

[yodasec-expose-news]

Government Files About "Remote Mind Control" | The Vigilant Citizen

https://vigilantcitizen.com/latestnews/government-accidentally-sends-files-on-remote-mind-control-to-journalist/

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[carmenbass]

The Internet comprises a decentralized global system that serves humanity’s collective effort to generate, process, and store data, most of which is handled by the rapidly expanding cloud. A stable, secure, real-time system may allow for interfacing the cloud with the human brain. One promising strategy for enabling such a system, denoted here as a “human brain/cloud interface” (“B/CI”), would be based on technologies referred to here as “neuralnanorobotics.” Future neuralnanorobotics technologies are anticipated to facilitate accurate diagnoses and eventual cures for the ∼400 conditions that affect the human brain ..

Operational Concept Mission Effectiveness Quantification Capability:Integrated, persistent Live-Virtual-Constructive (LVC) training environments incorporating adaptive training methods to accelerate Service, Joint, and Coalition Readiness Modeling and simulation quickly becomes out of sync with new events, the emergence of new forces, and newly proposed theories. The goal of the Sentient World Simulation (SWS) is to build a synthetic mirror of the real world with automated continuous calibration with respect to current real-world information, such as major events, opinion polls, demographic statistics, economic reports, and shifts in trends. The ability of a synthetic model of the real world to sense, adapt, and react to real events distinguishes SWS from the traditional approach of constructing a simulation to illustrate a phenomena. Behaviors emerge in the SWS mirror world and are observed much as they are observed in the real world. Basing the synthetic world in theory in a manner that is unbiased to specific outcomes offers a unique environment in which to develop, test, and prove new perspectives.

It means embracing the machine as an integral part of the health care team; automating routine procedures and processes so clinicians can focus on the most complex and critically ill patients; and using deep learning platforms to provide actionable tools at the point of care so clinicians can more efficiently and effectively diagnose and treat patients. It means automating billing, documentation, and regulatory processes so that the clinicians can focus on meeting every patient’s needs.