HHS touts first recurrent neural network for making acquisition plans

The Department of Health and Human Services’ chief information officer said his agency has the first functioning, recurrent neural network in the federal government, and it’s using the machine-learning technology to help officials make acquisition plans.

HHS developed the neural network so contracting officers don’t have to sift through thousands of statements of work for information like price points before drafting a plan complete with objectives, timelines, stakeholders and risks. Instead, the network establishes a historical record of previous acquisitions and presents officers with the relevant information to make decisions.

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