On July 2, Sens. Rob Portman, R-Ohio, and Maggie Hassan, D-N.H., introduced bipartisan legislation to accelerate emerging technology adoption by Federal agencies and expand upon the AI in Government Act which codifies an AI Center of Excellence (CoE) within the General Services Administration (GSA). […]

When the Department of Defense awarded a big artificial intelligence tech contract earlier this month, it marked one of the department’s first attempts at building its AI ethical principles into a request for proposals.

The Defense Department’s (DoD) Joint Artificial Intelligence Center (JAIC) continues to work toward accelerating AI adoption through leveraging cloud and using its Joint Common Foundation (JCF).

In a request for information (RFI), the U.S. Navy is seeking technologies to assist IT staff in correcting technical issues in data centers in enterprise networks. “The United States Navy is assessing the global impact of transformative technologies that enable IT professionals to perform at an expert level despite not having sufficient IT staff with […] […]

The Defense Department’s (DoD) Defense Innovation Unit (DIU) is seeking a commercial AI solution for organizations to support personnel who “exhibit behavioral changes that may indicate increased vulnerability.”

The Army Research Laboratory is building a new service to study the relationship between humans and artificial intelligence (AI) and determine the learning methods that benefit both soldiers and tech, according to an April 20 presolicitation.

The Defense Advanced Research Projects Agency (DARPA) are seeking submissions for research concepts in the technical domain of disrupting machine vision systems without in-depth knowledge of how they were built or trained.

While the concept of artificial intelligence (AI) has been around for decades, research shows only 12 percent of Federal agencies use highly sophisticated AI today.

In interviews with defense reporters last week, the Department of Defense said it is using artificial intelligence (AI) and machine learning (ML) to look for patterns or give advance notice on possible hotspots for the spread of the novel Coronavirus.

The Office of Personnel Management (OPM), in a just-issued human capital review (HCR) report covering 2019, emphasized hiring and retention obstacles for employees in STEM fields, and how to strategically develop the workforce and close the skills gap.

U.S. Army and industry researchers have developed a metric for neural networks that will measure next generation AI and machine learning (ML) algorithms’ reliability.

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.