OTHER ACTORS

Defense Intelligence Agency CIA U.S. Army Civil Affairs and Psychological Operations Command Reserve Psyops Units Naval Network Warfare Command (NETWARCOM) Air Force Psyops Commands Joint Forces MILDEC Joint Forces Information Operations PsychSim naval postgraduate school Nsf program

What is my deal with DARPA?

I think an analysis of DARPA and their missions makes it clear the USA has a long term plan of wanting to create a fully functional cyborg. I believe the reason for this I think is most likely to be used in military and economic strategy. I assume this is one of many reasons they are researching memes which could potentially be used as viruses. Most the research on memes is in the field of neural networks and neuronal dynamics. I do not like america and do not want them to suceed in this. I am particularly unhappy with the experiments I believe they are doing on unwitting people to get them to belive rubbish as it is infecting our politcs in my country and is constructing a moral panic about young trans people like myself whos impact has also come over here

DARPA spending 5 admissions

Mostly this just explains their research on neural interface technologies, there lots on the memory formation process in people with brain trauma potentially for the application of mind control. Social Media in Strategic Communication (SMISC) program is referenced Description: The Social Media in Strategic Communication (SMISC) program will develop techniques to detect, classify, measure, and track the formation, development, and spread of ideas and concepts (memes) in social media. This will provide warfighters and intelligence analysts with indications and warnings of adversary efforts to propagate purposefully deceptive messaging and misinformation. Social media creates vulnerabilities that can be exploited to threaten national security and has become a key operating environment for a broad range of extremists. SMISC will develop technology and a new supporting foundational science of social networks that will enable warfighters to defend against malevolent use of social media and to counter extremist influence operations.

DARPA spending 4 admissions

Title: Social Media in Strategic Communication (SMISC) Description: The Social Media in Strategic Communication (SMISC) program developed techniques to detect, classify, measure, and track the formation, development, and spread of ideas and concepts (memes) in social media. These techniques will provide warfighters and intelligence analysts with indications and warnings of adversary efforts to propagate purposefully deceptive messaging and misinformation. Social media creates vulnerabilities that can be exploited to threaten national security and has become a key operating environment for a broad range of extremists. SMISC developed technology and a new supporting foundational science of social networks will enable warfighters to defend against malevolent use of social media and to counter extremist influence operations. FY 2015 Accomplishments: - Integrated algorithms for meme detection and tracking with algorithms for detecting deception, persuasion, and influence operations. - Developed high fidelity diffusion models for messages, narratives, and information across social media. - Refined algorithms for sentiment analysis of content on developing social multi-media platforms.

Title: Complexity Management Hardware Description: The battlefield of the future will certainly have more data generators and sensors that produce information required to efficiently execute operations. With networked sensors, the variety and complexity of the information streams will be even further extended. This project studied silicon designs which help alleviate the complexity inherent in next generation systems. These systems will have increasingly large data sets generated by their own multidomain sensors (such as RF and ElectroOptical/Infrared (EO/IR) payloads) as well as new inputs from external sensors that may or may not have been planned for initially. With current programming approaches, there are laborious coding requirements needed to assimilate new data streams. However, the context provided by these data sets is ever changing, and it is imperative for the integrated electronics to adapt to new information without a prolonged programming cycle. Providing contextual cues for processing of data streams will alleviate the fusion challenges that are currently faced, and which stress networked battlefield systems. As opposed to the intuition and future-proofing that is required at the programming stage of a current system, the silicon circuit of the future will be able to use contextual cues to adapt accordingly to new information as it is provided. The fundamental aspects of this program looked at various algorithms to explore the ability to use context to adapt to new information. Applied research for the program was budgeted in PE 0602303E, Project IT-02. FY 2015 Accomplishments: - Developed new, biology-inspired, neural network, machine learning algorithms including new data representations, low precision and ability to adapt and scale. - Identified and selected benchmark calculations on data streams to show accurate pattern recognition with minimal training times in a variety of applications.

- Utilize defined biomarkers of memory encoding and retrieval to adaptively modulate patterned electrical stimulation to dynamically drive neural networks into states optimized for memory encoding and retrieval processes. - Determine the long-term signatures underlying stimulation-induced memory restoration tasks. - Design, develop and validate both external and implantable hardware and software systems for an integrated memory restoration system. FY 2017 Plans: - Demonstrate improvement of human performance on spatial and semantic memory tasks through the use of real-time, closedloop, biomarker-driven stimulation. - Utilize clinical data and computational model developments to refine hardware and software components. - Fabricate and test integrated device for memory restoration in clinical patients. - Develop computational model of integrated neural, physiological, and environmental effects on neural replay and subsequent memory recall in the context of task performance relevant to military training and/or operations. - Develop and use a real-time intervention and an interface system to assess, enable, and improve skill performance in human participants. Title: Neuro-Adaptive Technology Description: The Neuro-Adaptive Technology program will explore and develop advanced technologies for real-time detection and monitoring of neural activity. One shortcoming of today's brain functional mapping technologies is the inability to obtain realtime correlation data that links neural function to human activity and behavior. Understanding the structure-function relationship as well as the underlying mechanisms that link brain and behavior is a critical step in providing real-time, closed-loop therapies for military personnel suffering from a variety of brain disorders. Efforts under this program will specifically examine the networks of neurons involved in post-traumatic stress disorder (PTSD), traumatic brain injury (TBI), depression, and anxiety as well as determine how to best ameliorate these disorders. The objective for this program is to develop new hardware and modeling tools to better discriminate the relationship between human behavioral expression and neural function and to provide relief through novel devices. These tools will allow for an improved understanding of how the brain regulates behavior and will enable new, disorder-specific, dynamic neuro-therapies for treating neuropsychiatric and neurological disorders in military personnel. Technologies of interest under this thrust include devices for real-time detection of brain activity during operational tasks, time synchronized acquisition of brain activity and behavior, and statistical models that correlate neural activity with human behavioral expression. FY 2015 Accomplishments: - Developed tests that activate key brain subnetworks for each functional domain. - Developed computer algorithms/programs to automatically merge elements of multimodal brain activity across time/space.