The U.S. Army is seeing success in implementing machine learning (ML)— evidenced by improved classification of previously unknown data by 20 percent— and is developing a workforce culture where artificial intelligence (AI) adoption is possible. […]

When it comes to adopting artificial intelligence (AI) and machine learning (ML) capabilities, it’s important to look at its range of effects from many different viewpoints.

The desire to make the employees of the Central Intelligence Agency (CIA) more efficient in their work led to the creation of a Robotics Process Automation Center of Excellence, explained Pam Dempsey, the center’s lead.

Artificial intelligence (AI) is ripe to revolutionize the workforce and the process of human-machine teaming, but funding, organizational application, and experimentation must accelerate in order for it to become a reality, posited Steve Harris, senior vice president and general manager of Dell Technologies Federal.

The use of artificial intelligence (AI) and predictive analytics in the criminal justice system is the latest attempt to make sentencing decisions more accurately and reduce recidivism.

The National Oceanic and Atmospheric Administration (NOAA) on Feb. 18 released its Artificial Intelligence (AI) strategy that aims to coordinate efforts to use AI technologies across the agency.

The U.S. Army’s Artificial Intelligence (AI) Task Force (AITF) is working on new tech to locate and identify potential battlefield threats in real time.

Former Google CEO Eric Schmidt urged lawmakers on Jan. 29 to consider action on several steps the U.S. could take to extend its technological leadership in the world and fend off tech competition from China, including expanding a National Science Foundation (NSF) program to connect agency-sponsored researchers to more cloud computing resources.

The Defense Acquisition University (DAU), a training organization within the Department of Defense (DoD), wants to put some artificial intelligence (AI) into its learning environment to respond to real-time student needs and improve effectiveness and efficiency.

The Government Accountability Office said in a new report that machine learning (ML) could help researchers save time and money in finding insights within biomedical or health-related data sets.

Andrei Iancu, director of the United States Patent and Trademark Office (USPTO), raised the possibility of artificial intelligence (AI)-enabled machines qualifying as independent patent holders, during remarks at the Consumer Electronics Show on Jan. 8.

The Department of Defense’s (DoD) Joint Artificial Intelligence Center (JAIC) is seeking information to conduct market research on AI and other emerging technologies.

Industry leaders shared their predictions for 2020 and beyond with MeriTalk, indicating the path to progress will often track uphill, and around plenty of curves.

The biggest downside impacts of tech-fueled automation may come in the form of major labor market dislocation and social costs connected with that – rather than permanent job losses – said James Bessen, Director and Founder of Research on Innovation at Boston University School of Law, at a Brookings Institution event Dec. 12.

The U.S. Patent and Trademark Office (USPTO) last week rolled out its first artificial intelligence (AI)-based project, one that aims ultimately to speed patent examination processes, said Tom Beach, Chief Data Strategist and Portfolio Manager at USPTO.

The Department of Veterans Affairs (VA) announced today the launch of its National Artificial Intelligence (AI) Institute (NAII) to coordinate veteran-specific AI initiatives.

Federal artificial intelligence (AI) technology leaders agreed today that a human-centered approach to data management and automation generates stakeholder buy-in and improves agencywide perceptions of AI projects.

Co-Chair for Artificial Intelligence (AI) at the Air Force Captain Michael Kanaan explained the five principles guiding the agency’s AI strategy, and how each principle can be embraced by other Federal actors, at AI in Action on Dec. 3.

The Federal government is making strides on its goal to support and advance the research and development of artificial intelligence (AI) technologies, according to the White House Office of Science and Technology Policy’s (OSTP’s) 2016-2019 Progress Report on Advancing Artificial Intelligence R&D, released today.

White-collar jobs are the most susceptible to disruption by the growing influence of artificial intelligence (AI) technologies in the U.S. economy, a new report says.