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Tag Archives: machine learning

Sue Gordon: Intell Community Should Expand AI Adoption to Accelerate Data Analysis

Sue Gordon, principal deputy director of national intelligence, said the intelligence community is expanding its use of artificial intelligence to accelerate data analysis, facilitate the decision-making process and keep ahead of adversaries, Nextgov reported Thursday. “We are going to have to make machines integrated into all our processes,” she said Thursday at the Defense One Tech Summit.

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HHS Officials on How AI, Data Sharing Could Help Transform Health Care

Department of Health and Human Services officials discussed the potential role of artificial intelligence and data sharing in the prevention and treatment of diseases during a panel discussion on Tuesday at the AI World Government Conference, Federal Times reported Thursday. “[It’s] a way of thinking about how health information flows across the country and the first step is getting it in digital format," said Paula Braun, entrepreneur-in-residence at HHS’ Centers for Disease Control and Prevention.

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NSA Working on ‘Explainable’ AI Capabilities

Neil Ziring, technical director for capabilities at the National Security Agency, said the capacity of artificial intelligence for "explainable" capabilities is vital for implementing the technology, Cyberscoop reported Friday. Ziring told the publication that AI’s ability to provide context on recommended actions “will be most important” when it comes to developing AI or machine learning-based technologies. 

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Christopher Krebs on DHS Cyber Agency’s AI Adoption

Christopher Krebs, director of the Department of Homeland Security’s Cybersecurity and Infrastructure Security Agency, said CISA is developing the role of artificial intelligence in election security, Fifth Domain reported Wednesday. Krebs, a 2019 Wash100 winner, said that the agency is approaching the “walking phase” when it comes to AI during a Chertoff Group event on Tuesday.

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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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