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Neural Network History
https://www.cia.gov/library/readingroom/docs/CIA-RDP96-00792R000500250001-5.pdf
As documented by the CIA, In January 1990, Djuro Koruga of he Molecular Machines Research Center, Faculty of Machine Engineering, University of Belgrade, made the link between subneural networks based on cytoskeleton and today's models of Neural Networks.
So there has been machine learning before 1990.
Fast forward to 1995
https://www.cia.gov/library/center-for-the-study-of-intelligence/kent-csi/vol40no5/html/v40i5a04p.htm
Breast Cancer Detection Research
On 4 April 1995, the television networks' evening news programs carried an unusual item. The Acting Director of Central Intelligence, Adm. William O. Studeman, held a press conference at the National Photographic Interpretation Center (NPIC) to address the topic of breast cancer. Also participating were the chairman and vice chairman of the Senate Select Committee on Intelligence (SSCI), Senator Arlen Specter of Pennsylvania and Senator Robert Kerrey of Nebraska, and Dr. Susan Blumenthal, the deputy assistant secretary of Health and Human Services and head of the Women's Health Office of the Public Health Service.
...
The automatic target detection tools being developed at the NIDL exploit this type of contextual information, making the detection scheme more accurate and efficient for the detection of targets of interest. The technique uses an advanced neural networka computational processor inspired by biologyto learn context automatically through training on a large set of examples.
This detection approach can potentially be used for mammogram screening. For example, microcalcification position often depends on mammalian duct and vasculature location. Integration of this context aids in detection of cancerous tumors. An advantage of the neural network approach is that, after the system has learned the task, the network can be analyzed to discover the specific nature of the underlying context that it recognized as being important. The system therefore can contribute in several ways to current state-of-the-art mammography, acting as both an automatic screening system and a tool physicians can use to uncover subtleties in the breast image that may not be easily detectable via traditional methods.
So here we have proof of neural networks being applied to mammogram data images to help cure breast cancer by detecting it earlier.
Fast forward to 2015-2016
https://www.cia.gov/offices-of-cia/digital-innovation
The Directorate of Digital Innovation (DDI) is the Agency’s newest Directorate focused on accelerating innovation across the Agency’s mission activities with cutting-edge digital and cyber tradecraft and IT infrastructure. The DDI is the engine of creativity, integration, and rigor that CIA needs in the digital age, ensuring that our culture, tradecraft, and knowledge management across the board are more than equal to the challenges and opportunities of the rapidly changing world in which we operate. From arming our officers with the tools and techniques they need to excel and prevail in the cyber and big data arenas to optimizing our business operations, the DDI is a strong, agile partner with the other Directorates, our Mission Centers, and our Intelligence Community counterparts to deliver the insights our nation requires.
https://uk.news.yahoo.com/cia-using-deep-learning-neural-112952674.html
CIA using deep learning neural networks to predict social unrest five days before it happens
The Central Intelligence Agency (CIA) has upgraded its approach to surveillance by focusing on a new "technology-first" strategy that sees it using deep learning, neural networks to scan big data in order to predict when and where trouble is likely to occur in the US.
Neural networks are large networks of traditional computers that are trained using algorithms to solve complex problems, thus making them artificially intelligent beyond their individual capabilities. They work in a similar way to the human nervous system. Different layers of the neural network examine different parts of the problem and combine their results to produce an answer.
In October 2015, the CIA opened the Directorate for Digital Innovation in order to "accelerate the infusion of advanced digital and cyber capabilities" – the first new directorate to be created by the government agency since 1963.
Did the CIA just admit to being able to see the future via Neural Networks? Would that happen to be Project Looking Glass?