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e age of 18." But, "scientists believe the illness is generally not as debilitating in younger patients because they have stronger immune systems." Jeffrey Kahn, Professor of Pediatrics, UT Southwestern, said: "The public health data is quite compelling, that children can get infected and even have mild syst
provide guidance on how agency personnel should develop and use Al and machine learning as part of their intelligence- gathering responsibilities." FedScoop <https://www.fedscoop.com/odni-guiding-principles-ai/> (7/23, Mitchell) reports that the pair of documents, new principles and a supporting framewor
e age of 18." But, "scientists believe the illness is generally not as debilitating in younger patients because they have stronger immune systems." Jeffrey Kahn, Professor of Pediatrics, UT Southwestern, said: "The public health data is quite compelling, that children can get infected and even have mild sys
provide guidance on how agency personnel should develop and use AI and machine learning as part of their intelligence-gathering responsibilities." FedScoop (7/23, Mitchell) reports that the pair of documents, new principles and a supporting framework, "aim to set a foundation for how and when members of
e age of 18." But, "scientists believe the illness is generally not as debilitating in younger patients because they have stronger immune systems." Jeffrey Kahn, Professor of Pediatrics, UT Southwestern, said: "The public health data is quite compelling, that children can get infected and even have mild sys
provide guidance on how agency personnel should develop and use AI and machine learning as part of their intelligence-gathering responsibilities." FedScoop (7/23, Mitchell) reports that the pair of documents, new principles and a supporting framework, "aim to set a foundation for how and when members of
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