Machine learning

March 16, 2020
By Capt. Jason Nunes
A drone operated by airmen flies over a training area at Joint Base Elmendorf-Richardson, Alaska, in October, while capturing aerial intelligence during a two-week military exercise. Software for unmanned systems goes through extensive and time-consuming testing, but machine learning could change that. Credit: Alejandro Pena, Air Force

A mushroom cloud explosion in the New Mexico desert on July 16, 1945 forever changed the nature of warfare. Science had given birth to weapons so powerful they could end humanity. To survive, the United States had to develop new strategies and policies that responsibly limited nuclear weapon proliferation and use. Warfare is again changing as modern militaries integrate autonomous and semiautonomous weapon systems into their arsenals. The United States must act swiftly to maximize the potential of these new technologies or risk losing its dominance.

March 11, 2020
By Maryann Lawlor
Lt. Gen. Bruce T. Crawford, USA, Army Chief Information Officer/G-6, listens to attendees at the AFCEA Army Signal Conference 2019.

“There’s a war out there, old friend. A world war. And it’s not about who’s got the most bullets. It’s about who controls the information. What we see and hear, how we work, what we think … it’s all about the information.” These lines are from the 1992 movie Sneakers, a film exploring the possibility of a decryption machine that could break any code, obliterating the ability to protect secrets. Nearly three decades later, the fictitious decoder still doesn’t exist, but the importance of data has grown exponentially.

February 1, 2020
By Kimberly Underwood
A U.S. Marine with 2nd Battalion, 3rd Marine Regiment, fast ropes from a MV-22B Osprey during drills in November at Marine Corps Base Hawaii. Technologies fielded by the service’s Command Element Systems must be lightweight and effective for expeditionary forces.  U.S. Marine Corps photo by Cpl. Matthew Kirk, USMC

A Marine Corps of the future with a “reinvigorated Fleet Marine Force” and a strong Marine Expeditionary Force requires robust command and control and other advanced communications technologies, says the service’s top leader. As such, the Marine Corps Systems Command’s Command Element Systems is pursuing advanced satellite communications, electronic warfare, biometrics and other solutions.

February 3, 2020
By Brandon Shopp
A U.S. Army soldier tests his battle systems in the field at Fort Polk, Louisiana. Credit: Army photo by Staff Sgt. Armando R. Limon, 3rd Brigade Combat Team, 25th Infantry Division

Cloud computing can quicken U.S. Department of Defense (DOD) efforts toward information dominance, but agencies must be measured and deliberate in the march toward the cloud.

January 14, 2020
By Robert K. Ackerman
Credit Shutterstock/sdecoret

Applying artificial intelligence/machine learning (AI/ML) cybersecurity is a “hard problem,” but one with significant and promising progress, according to intelligence experts. Achieving this will require a combination of top-down and bottom-up efforts that leverage both government and industry cooperation, as each can benefit from unique capabilities and contributions of the other.

September 1, 2019
By George I. Seffers
The CIA’s Directorate of Science and Technology’s claim to fame is its ability to combine technologies and capabilities across disciplines in ways that others cannot imagine and that make technology seem magical, says Dawn Meyerriecks, who leads the directorate. Pan Andrii and Titima Ongkantong/Shutterstock, edited by Chris D’Elia

If Hollywood were to create a movie about CIA human intelligence gathering, it would need to be more Mission Impossible than James Bond, more about teamwork and technical expertise than individual exploits, says Dawn Meyerriecks, who leads the agency’s Directorate of Science and Technology.

August 8, 2019
 

ECS Federal LLC, Fairfax, Virginia, was awarded a $78,725,114 modification (P00003) to contract W911QX-18-C-0037 for machine learning and computer vision engineering. Work will be performed in Fairfax, Virginia, with an estimated completion date of July 16, 2022. Fiscal year 2018 and 2019 research, development, test and evaluation funds in the amount of $35,847,000 were obligated at the time of the award. U.S. Army Contracting Command, Aberdeen Proving Ground, Maryland, is the contracting activity.

July 17, 2019
Posted by George I. Seffers
U.S. Cyber Command officials recently released a list of tough technical challenges areas, for which solutions may not yet exist. Credit: DR MANAGER/Shutterstock

The U.S. Cyber Command has released a list of 39 challenge problems fitting under 12 categories: vulnerabilities, malware, analytics, implant, situational awareness, capability development, persona, hunt, mission management, attack, security and blockchain.

July 11, 2019
Posted by Kimberly Underwood
The Navy is pursuing machine learning-based cyber security through a new $100,000 prize challenge. Credit: U.S. Navy illustration by Frances Zukowski

The Navy is seeking advanced cybersecurity solutions based on artificial intelligence and machine learning technologies, the Naval Information Warfare Systems Command announced in a recent statement.

The Command, known now as NAVWAR, and the Program Executive Office for Command, Control, Communications, Computers and Intelligence (PEO C4I) are co-sponsoring the so-called Artificial Intelligence Applications to Autonomous Cybersecurity Challenge (AI ATAC).

July 3, 2019
 

Hughes Network Systems LLC, Germantown, Maryland, was awarded an $11,823,659 cost-plus-fixed-fee contract for the research and development effort to research solutions, prototype products and demonstrate solutions that include machine learning to improve transport and network performance availability and reliability. One bid was solicited with one bid received. Work will be performed in Germantown, Maryland, with an estimated completion date of December 30, 2023. Fiscal year 2019 research, development, test and evaluation funds in the amount of $1,863,123 were obligated at the time of the award. U.S. Army Contracting Command, Aberdeen Proving Ground, Maryland, is the contracting activity (W56KGU-19-C-0016).

May 31, 2109
By Maryann Lawlor
Artificial intelligence and machine learning are still technically in their infancy. Both show promise in the military and government arenas, but experts still have many questions.

Artificial intelligence and machine learning techniques could help information and network defenders recognize patterns of potential attackers so their next moves can be proactively blocked. In addition, cyber tools enhanced with these capabilities could provide a much more detailed picture of the cyber battlefield and increase the potential of success in a cyber campaign. This knowledge would complement the kinetic battlefield and could permit war planners to choose the appropriate mix of cyber and kinetic operations.

May 29, 2019
Posted by George I. Seffers
The U.S. Defense Department awards a contract to Rekor Systems Incorporated to license software that turns existing Internet protocol cameras into license plate readers. Credit: Pixabay/Capri23auto

Rekor Systems, Inc. has announced that it will provide automatic license plate recognition (ALPR) solutions to the U.S. Defense Department. The contract with the department is for the purchase of 200 licenses to use Rekor's machine learning-enabled vehicle recognition system powered by the company’s OpenALPR software.

May 21, 2019
By George I. Seffers
DISA and the Defense Security Service have awarded $75 million to Perspecta Enterprise Solutions to develop a major piece of the National Background Investigation System, which will use artificial intelligence and machine learning to streamline the security clearance process.  Credit: Rudy Bagozzi/Shutterstock

The Defense Security Service (DSS) and Defense Information Systems Agency (DISA) have awarded nearly $75 million to Perspecta Enterprise Solutions LLC of Herndon, Virginia, to help reform and modernize the security clearance personnel vetting processes and develop the National Background Investigation Service (NBIS) information technology system.

May 15, 2019
By George I. Seffers
From l-r, Mathew Gaston, director of the Emerging Technology Center at the Carnegie Mellon University Software Engineering Institute, Stephen Wallace, DISA’s systems innovation scientist with the Emerging Technology Directorate, and and Fletcher Previn, chief information officer at IBM Corp., discuss artificial intelligence during a session of TechNet Cyber. Photo by Michael Carpenter

Asked which technology will be most critical to artificial intelligence in the coming years, experts agree: artificial intelligence, hands down.

Two experts from academia and industry—Mathew Gaston, director of the Emerging Technology Center at the Carnegie Mellon University Software Engineering Institute, and Fletcher Previn, chief information officer at IBM Corporation—participated in a fireside chat at the AFCEA TechNet Cyber 2019 conference and predicted artificial intelligence will be the number one technology most critical to national security in the next several years.

May 15, 2019
By George I. Seffers
Vice Adm.Nancy Norton, USN, director, DISA, and commander, JFHQ-DODIN, addresses the TechNet Cyber conference. Photo by Michael Carpenter

The Defense Information Systems Agency (DISA) is acquiring an array of cutting-edge technologies using rapid development processes and could begin fielding some of those technologies within the next two years.

March 1, 2019
By Kimberly Underwood
 archy 13/Shutterstock

The vulnerabilities of machine learning models open the door for deceit, giving malicious operators the opportunity to interfere with the calculations or decision making of machine learning systems. Scientists at the Army Research Laboratory, specializing in adversarial machine learning, are working to strengthen defenses and advance this aspect of artificial intelligence.

March 1, 2019
By Kimberly Underwood
Across, the United States, four organizations are working to build connections and address societal issues through data resources, including machine learning tools.  Sahacha Nilkumhang/Shutterstock

The National Science Foundation’s Directorate for Computer and Information Science and Engineering is working to create a big data ecosystem. As part of that effort, the NSF, as it is known, is expanding the National Network of Big Data Regional Innovation Hubs, first created three years ago. The hubs, with one location for each U.S. Census region—the Midwest, Northeast, South and West—grew out of the need to aid the development of big data research and to help solve complex societal problems. The hubs are having a positive impact on the growth of machine learning, increasing the access to data, methods, networks and expertise, experts say.

March 1, 2019
By Kimberly Underwood

Burgeoning computer capabilities often are unreliable, or brittle, at first. Capabilities that work successfully in one instance may fail miserably when applied to another area. At the moment, machine learning is no different, experts say, and the government and private industry are endeavoring to get past the limitations to improve its use.

February 26, 2019
By George I. Seffers
DARPA looks to the future of artificial intelligence with its Artificial Intelligence Colloquium to be held next week. Credit: kalhh/Pixabay

Artificial intelligence (AI) has come a long way in recent years, but the technology still has hurdles to overcome if machines are to become true partners and collaborators with humans. To help push the systems to that next level, the Defense Advanced Research Projects Agency (DARPA) is hosting a two-day conference aimed at spurring the next wave of AI advances.

February 15, 2019
By George I. Seffers
Adm. Christopher Grady, USN, U.S. Fleet Forces commander, speaks at West 2019.

The U.S. Navy is in the nascent stages of a plan to revolutionize readiness through the use of artificial intelligence, machine learning and data analytics. It also may include the establishment of two new offices: a chief readiness office and an analytics office.

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