The Department of Homeland Security (DHS) is piloting a new artificial intelligence (AI) initiative with Canada’s Department of National Defense that kicked off today and aims to provide first responders and paramedics with information to help make potential life-saving decisions in the field.
The potential of artificial intelligence opens up the abundant future of game-changing machine-based applications in science, medicine, national defense, business, and just about every other area. But getting there while maintaining the U.S. lead in AI research and development will hinge on two old-school constants of innovation: money and people.
Deputy Defense Secretary Patrick Shanahan last Wednesday issued a memorandum that officially establishes the Defense Department’s (DoD) new Joint Artificial Intelligence Center (JAIC), confirming statements made by Secretary James Mattis and other DoD officials in April that a center to house DoD’s roughly 600 AI projects was forthcoming.
Welcome to MeriTalk News Briefs, where we bring you all the day’s action that didn’t quite make the headlines. No need to shout about ‘em, but we do feel that they merit talk.
The Department of Defense (DoD) is using big data analytics and automated intelligence to both uncover discrepancies in budget-draining programs and engage leadership to direct funding to the correct priorities, according to a former Deputy Secretary of Defense and the founder of a business intelligence firm that supports the Pentagon.
Josh Marcuse, executive director of the Defense Innovation Board (DIB), said today at Defense One’s Tech Summit that both Silicon Valley engineers and national defense community members are stuck in a line of thinking about artificial intelligence (AI) and warfighting innovation that could impact safety and contribute to greater risk on the battlefield.
Google’s decision to pull out of the Defense Department’s (DoD) Project Maven artificial intelligence (AI) initiative without DoD consultation could have potential ramifications on American military and civilian lives, according to former Deputy Secretary of Defense Robert Work.
The State Department on Friday held the fourth United States-Republic of Korea Information and Communication Technology (ICT) Policy Forum in Seoul, South Korea, which brought together private sector representatives and delegations from the two nations to discuss how the countries can collaborate to advance mutual goals in areas of 5G mobile technology, artificial intelligence, inclusive Internet governance, and data privacy.
The Pentagon’s top research arm is sponsoring development of a first-of-its-kind software that can model the events that contribute to conflicts around the world, and, if not quite predict the future, at least offer a timely heads-up on what might happen next.
The National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL) isn’t just looking into rockets these days.
As the Federal government looks to emerging technologies such as artificial intelligence (AI) to help improve citizen services and lower government costs, applications that enable this new computer-based intelligence via application programming interfaces (APIs) might be the least disruptive and inexpensive way for agencies to get started.
Federal agencies and private sector firms are easing into intelligent automation (IA) technologies by first using those technologies to tackle repetitive processes and then moving closer to artificial intelligence (AI) applications, government and private sector officials said last week.
Welcome to MeriTalk News Briefs, where we bring you all the day’s action that didn’t quite make the headlines. No need to shout about ‘em, but we do feel that they merit talk.
A shift to the cloud offers government agencies an opportunity to embrace digital transformation, add automation, and rethink processes, said Federal IT panelists on Wednesday at MeriTalk’s 2018 Cloud Computing Brainstorm.
We sat down with Jeff Henry, president of ViON, in his office in Herndon, Va. The typical tech provider surroundings belied the epic changes at ViON, as it morphs from leading data center reseller to delivering government IT modernization as a service.
Military users will soon see a tenfold boost in the Department of Defense’s telecommunications network, in a move that will support the service’s combatant commands, the Joint Information Environment (JIE), and in the process, DoD’s push toward commercial cloud services.
The U.S. Cyber Command is ready for its close-up. The command announced May 17 that all 133 of its Cyber Mission Teams are fully operational, capping a roughly one-month stretch that saw the arrival of a new commander, the opening of a new operations center, and the official designation of Cybercom as a full unified combatant command.
Lawmakers hailed a new partnership that will leverage the Department of Energy’s high-performance computing and machine learning capabilities to help analyze the health records of more than 20 million veterans maintained by the Department of Veterans Affairs.
Lawmakers learned in April that the United States needs to write the script when it comes to artificial intelligence (AI). Leave this one to improvisation and we may have a tragedy on our hands.
Artificial Intelligence systems are known for getting results with compute-intensive analytics involving huge data sets and a lot of processing power. But it turns out they also can help users do more with less.
An official with data storage technologies provider Pure Storage told MeriTalk that issues holding back Federal government adoption of artificial intelligence (AI) technologies include the high cost of super-computing resources and the continued reliance of government agencies on legacy IT systems that were not created with AI applications in mind.
The White House’s planned advisory committee on artificial intelligence may or may not help keep the country at the forefront of technological innovation, but it is another sign that the government is getting more serious about the importance of AI and the potential threats of falling behind in the “AI arms race.”
How do you spell the future of government IT? AI. While that’s not going to get you too many points on the triple word score in Scrabble, the technology and applications will unscramble massive dividends in cost savings, service enhancements, and breakthroughs.
The White House said on Thursday that it will create a new artificial intelligence (AI) advisory committee–dubbed the Select Committee on Artificial Intelligence–that will advise the White House on AI research and development efforts in government and industry.
Artificial intelligence (AI) could increase global GDP by $15.7 trillion by 2030, according to PricewaterhouseCoopers. The prevalence of AI in modern society is growing at a rapid pace – and the Federal government needs to keep up.
For the first time in more than eight years, the House Appropriations committee shuttered its doors when it discussed budget issues with top Pentagon brass late last month.
Machine learning innovation is kicking into high gear. Investment in this field and data science increased 9.3 percent in 2016 to $2.4 billion, according to Gartner. On top of that, the Federal government is increasing its focus on machine learning, with the MGT Act, Technology Modernization Fund, and the President’s Management Agenda all supporting transformation efforts.
The Pentagon has a lot of dogs in the artificial intelligence fight. Now it seems to be setting up shop to get those puppies groomed and ready for the big show.
The Government Accountability Office–GAO–recently released a report on an artificial intelligence forum it held in Washington, D.C. last summer. It shows that government’s thinking about the ups and downs of thinking machines. Two highlights to make you think.
Scientists at the Army Research Laboratory (ARL) are covering some new ground in artificial intelligence (AI) by connecting a machine with human intelligence via a neural connection. Not to worry: the research team isn’t cooking up an AI system that will run the show inside a person’s head. But it does have promise for both medical as well as deep machine learning systems uses, potentially in military and everyday applications.