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Tag Archives: machine learning

Gov’t Officials Cite AI as Vital to Agency Transformation, Modernization

Government sector leaders pointed to artificial intelligence and machine learning as crucial factors for modernizing government operations during Amazon Web Services’ Public Sector Summit in Washington, D.C., Fedscoop reported Thursday. Zacharie Hall, a computer scientist for the U.S. Special Operations Command, said AI and machine learning help the agency rapidly process data obtained from the battlefield.

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Dr. Pragyansmita Nayak Joins Hitachi Vantara Federal as Chief Data Scientist; Dave Turner Quoted

Hitachi Vantara Federal announced on Wednesday that Dr. Pragyansmita Nayak has joined the company as the chief data scientist. In the new role, Dr. Nayak will empower customers to better leverage their data through machine learning, artificial intelligence and advanced data analytics.

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Air Force Students Pitch Ideas Under Think Tank Initiative

The U.S. Air Force launched an initiative to address the military service's concerns through the presentation of various concepts. Three groups of students from Air University's squadron officer school were tasked to pitch their ideas in updating the service branch's set of processes to senior officials as part of the Think Tank initiative, the Air Force said Monday.

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BG Matthew Easley, Director of Army Futures Command and AI Task Force for U.S. Army, Announced as Keynote Speaker for Potomac Officers Club’s 2019 Artificial Intelligence Forum on June 13th

Brigadier General Matthew Easley, director of the Army Futures Command and the AI Task Force for the U.S. Army, will be featured as a keynote speaker during Potomac Officers Club’s 2019 Artificial Intelligence Forum on June 13th.

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CIA Integrating Ethics, Analytics Into AI Initiatives

Benjamin Huebner, privacy and civil liberties officer for the CIA, told attendees at a Brookings Institution event in Washington, D.C. that the agency is working on over 100 artificial intelligence initiatives, Nextgov reported Friday. Huebner said the CIA seeks to incorporate new data analytics and machine learning methods in AI development while also covering ethical issues like biases and privacy measures.

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Census Bureau Wants to Build AI Bot to Accelerate ATO Processing

The Census Bureau aims to develop an artificial intelligence-based tool to streamline and speed up the process to grant authority to operate for new systems and applications, Nextgov reported Wednesday. The effort is being led by the Census FISMAtic team. Officials said the AI bot would work like the Clippy automated assistant that supported Microsoft Office products from 1997 to 2007.

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Bureau of Labor Statistics Deploys AI, Machine Learning for Data Coding Tasks

The Bureau of Labor Statistics is implementing artificial intelligence and automation to simplify the agency's data analysis operations, Nextgov reported Friday. The Department of Labor component started using open-source software to automate menial functions and deployed a neural network framework to mitigate system errors earlier this year.

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ARPA-E Seeks Algorithms, Software for AI Tech Dev’t Program

The Department of Energy’s Advanced Research Projects Agency-Energy unit launched a program focusing on algorithm development to support artificial intelligence and machine learning efforts, Federal News Network reported Thursday. David Tew, program director for ARPA-E, told attendees at a Federal Monthly Insights event that the "Design Intelligence Fostering Formidable Energy Reduction and Enabling Totally Impactful Advanced Technology Enhancements" program will use technologies from academic and industry representatives to support the development of AI and machine learning-driven tools.

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SOCOM to Develop AI-Based Strategy for Asset Allocation, Transparency

The U.S. Special Operations Command hopes to create a machine learning and artificial intelligence strategy that allows transparency and validate allocation in future expenses, National Defense reported Thursday. The strategy's roadmap will utilize AI-based applications, outreach and workforce components and is expected to yield five different outcomes and focus on six specific areas.

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