machine learning

CYBERCOM surveying DoD machine learning requirements to prioritize future investments

U.S. Cyber Command wants to expand the use of artificial intelligence and machine learning. To do that, it’s kicked off a broader survey of machine learning…

Defense

Amelia Brust/Federal News Network

Where exactly do most of federal contracting dollars actually go?

Contracting

Amelia Brust/Federal News Network

GSA, DIU working together to get non traditional contractors on board

Defense

Getty Images/Federal News Network

electronic health record, EHR, veterans affairs, VA

Federal health tech leaders want to extract data for greater equity

Technology

YouTube

Federal banking agencies trying to ensure AI, ML benefit most rather than the few

Artificial Intelligence

What happens if a hacker manages to mess up an artificial intelligence algorithm

Artificial Intelligence

Defense Innovation Unit issues guidance for responsible use of artificial intelligence

Artificial Intelligence

Department of Health and Human Services building

HHS AI strategy hinges on culture shift, knowledge exchange

Artificial Intelligence

Education Department looking at zero trust to secure bots from being compromised

Technology

Improving the nation’s cybersecurity

Off the Shelf

The Federal Executive Forum’s Machine Learning and Artificial Intelligence in Government 2021

Federal Executive Forum

HUD rolls out AI risk management platform to fight fraud in grant spending

When fully implemented, the new risk management platform Argus will reduce the time spent manually monitoring HUD’s program grantees by over 75%.

Artificial Intelligence

Agencies should apply DataOps to their data for AI, machine learning

Agencies often have data stored in multiple silos and data lakes, making discovery difficult. In addition, that data is rarely in standardized formats,…

Federal Insights

federal employee, work, stress, health, retirement

Science, data, technology helped combat the pandemic. They can help long after

Commentary

Emerging technologies like machine learning and predictive analytics can help public health officials quickly and accurately identify vulnerable, underserved segments of the population and efficiently get them the care and guidance they need.