The difference between artificial intelligence and machine learning and why it matters
A Breaking Defense webinar with experts from CDAO, APL, and CNAS gets into the question of defining artificial intelligence vs machine learning.
Army identifying which programs will implement new data architecture
The service is also currently developing a risk management framework for Project Linchpin, the Army’s first program of record to help build out a trusted artificial intelligence/machine learning pipeline, according to Jen Swanson, deputy assistant secretary of the Army for data, engineering and software.
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Winning the cognitive domain — A methodology built for democratic constraints
The challenge for Western democratic institutions is not a lack of capability — it is a structural one.
Army moving out on AI BOM concept for Project Linchpin
“The goal is to create a complete and efficient AI and ML development and delivery operational pipeline (AI/MLOps) with supporting services for sensor programs within PEO IEW&S while managing cost, schedule, risk and performance," according to a request for information.
Army awards Booz Allen, Red Hat $2M Project Linchpin artificial intelligence contract
The service “will use Project Linchpin to develop and deploy trusted AI & ML capabilities to intelligence, cyber, and electronic warfare sensor systems,” Col. Chris Anderson, project manager for intelligence systems and analytics, said.
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How the CNI foundation for comms/nav/ID is evolving, especially at the edge
Solving the JADC2 sense/make-sense/act strategy requires communications, navigation, identification capabilities that distribute the decision making to act fast.
Simplifying and streamlining: How the Army’s new network boss aims to modernize
“I think across our entire portfolio, there are opportunities for us to simplify and deliver capabilities that allow for our units to have a more flexible network infrastructure,” Mark Kitz said.
Satellites at the center: Inside the Pentagon’s next-gen space architecture
From emerging data networks to missile tracking and cyber resilience, Breaking Defense’s latest eBook brings together essential reporting on the evolving role of satellites in national security.
US risks ‘weakness and dependence’ as it falls behind China in tech race: Report
Data analytics firm Govini noted widespread investment in most of 12 top critical national security technologies, but said stats on patents are a troubling indicator of Beijing's tech rise.
GDIT drastically upping investments in DoD emerging tech areas like AI, zero trust
GDIT President Amy Gilliland spoke to Breaking Defense about how the tech company is redirecting its investments to meet the technological demands of the day, including incorporating lessons from Ukraine.
Army charts path ahead for Project Linchpin AI/ML initiative, while wary of its scope
"The ambition of [Project] Linchpin makes me nervous," said Mark Kitz, program executive officer for IEW&S. "We can't answer all of our AI/ML ops questions with the initial iteration of Linchpin."
Space Force eyes True Anomaly’s satellite ‘pursuit’ capability for ops, training
The company is using private capital to build its hunter satellite, called Jackal, to shadow adversary satellites seeking to evade US tracking.
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Voyager is fortifying the U.S. Defense supply chain
Answering the Pentagon’s call to bolster defense industrial base.
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Strike first, strike fast
Critical JADC2 enabling technologies for mission success.
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How effective and ethical artificial intelligence will enable JADC2
How can warfighters know when the AI is telling the truth? The answer to that and the roles of AI/ML in all-domain operations are inextricably linked.
Space Force sees AI as ‘absolutely essential’ for JADC2
Brig. Gen. John Olson said that for JADC2 to work, "artificial intelligence and machine learning are absolutely essential enablers to make us able to react, and respond, and again, make sense of the information, then act upon it."
Peraton Developing ‘Single-Pane-Of-Glass’ Visibility Across Army’s Unified Network
"If there's one thing DoD and industry have done, it's try a whole bunch of different tools over the last 10 to 12 years. What we have to do now is string them all together to show which ones work best for the capabilities the Army needs today and divest the ones that they don't need," Peraton VP Jennifer Napper said.