Domino Data Labs modernizes Navy unmanned underwater vehicle program, receives success report from Defense Innovation Unit


AI Platform Leader's successful prototype reduces the retraining of automatic target recognition models from months to weeks, improving the reliability of mine countermeasure intelligence.

Earned “Award-Ready” status through the Chief Digital and Artificial Intelligence Office's (CDAO) Tradewinds Solutions Marketplace

San Francisco, June 17, 2024 /PRNewswire/ — Domino Data Laba leading enterprise AI platform provider trusted by leading AI companies and major government agencies, today announced Successfully completed prototype for U.S. Department of DefenseThe company's technology helps fill a critical gap by using Domino's platform to deploy and retrain automatic target recognition (ATR) models dozens of times faster than before, giving Navy decision-makers a higher degree of confidence in insights generated in the field from unmanned underwater vehicles (UUVs).

Undersea warfare is essential to victory in the Pacific and other conflict environments, making fleet support with automated underwater mine detection essential. To solve this problem, the U.S. Navy's Expeditionary Mission Team partnered with the Defense Innovation Unit (DIU) to identify commercial technologies, such as Domino, that could potentially transform these maritime scenarios run by Automated Machine Learning for Mine Countermeasure Operations (AMMO).

Domino's enterprise AI platform serves as an integral component of a modern MLOps pipeline for mine countermeasure (MCM) AI-based model development and deployment in the cloud, enabling Team AMMO to decouple hardware and software updates and significantly accelerate ATR model updates at the edge, resulting in more accurate imagery and sonar-based intelligence that naval decision makers can trust and execute, giving them an edge in next-generation warfighting.

“DIU helped the Navy narrow down 30 proposals in a very rapid, accelerated process and ultimately put a prototype on the water,” the DIU director said. Doug Beck He made the remarks at the Defense Industrial Association's Pacific Operational Science and Technology Conference. March 2024“One of the things we discovered in the process was that when these unmanned vessels were operating out there, [when] When they came back, we needed to be able to update the software based on what they learned.”

Using Domino as a factory to integrate four other commercial technologies, three different contract teams were able to accelerate their work, reducing the time to deploy AI models at the edge from six months to two weeks, and complete model retraining in two weeks instead of 12 months.

Domino is a modular, open, and extensible platform hosted on AWS GovCloud that enables Project AMMO's distributed teams to deploy models faster and reduce time to impact with built-in observability. Users can generate and analyze insights generated in the ATR field, leveraging the best open source and commercial tools of their choice, on one platform, in a highly managed manner. Domino's built-in model portability allows these teams to easily convert and transform models into external formats and export them to distant platforms, while also enabling users to securely access and share structured and unstructured data from anywhere.

“Autonomy is a key hallmark of next-generation warfare and trusted AI enables those systems, and commercial AI solutions like Domino's are essential to accelerating the Department of Defense's ability to deploy autonomous capabilities across the domain, especially underwater,” said Domino's Public Sector president. Joel Meyer“As an open, scalable, yet highly manageable platform, Domino is helping the U.S. Navy's Project AMMO deploy cutting-edge commercial technology and provide the fleet with rapidly updated models to increase confidence in the information they need to execute their missions.”

“It is very encouraging to see Domino, the Navy and DIU working together to rapidly deploy commercial technology capabilities to deter conflict,” the Brigadier General said. Bobby Kinney“This type of teaming around Domino's core MLOps technology is an example of a rapid, repeatable and scalable template that will greatly improve our nation's defense capabilities.”

Domino was rated “Award-Ready” for Department of Defense work in CDAO's Tradewinds Solutions Marketplace.

Domino also announced that it has achieved “Award Eligible” status through the Chief Digital and Artificial Intelligence Office's (CDAO) Tradewinds Solutions Marketplace, providing DoD customers with rapid access to Domino's market-leading enterprise AI capabilities. The Tradewinds Solutions Marketplace is the premier service from Tradewinds, a suite of Department of Defense (DoD) tools and services designed to accelerate the procurement and adoption of artificial intelligence (AI)/machine learning (ML), data and analytics capabilities. Government customers can access Domino's five-minute video solutions on Tradewinds. Tradewinds AI.

Domino's enterprise AI and MLOps platform helps government agencies integrate AI into their missions quickly, securely, and cost-effectively. Domino makes it easy to build, deploy, and manage AI at scale on a unified platform. Data scientists, contractors, and collaborators access on-demand compute infrastructure, commercial and open source data, tools, models, and projects, whether on-premise, in GovCloud, or hybrid/multi-cloud environments. Domino enables government agencies to establish AI standards and best practices that accelerate their missions while improving collaboration and governance.

Additional resources

About Domino Data Lab
Domino Data Lab helps the largest AI-driven enterprises build and operate AI at scale. Domino's enterprise AI platform combines the flexibility AI teams demand with the visibility and control enterprises want. Domino enables a repeatable, agile ML lifecycle to deliver faster, more responsible AI impact at lower cost. Domino enables global enterprises to develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by leading investors including Sequoia Capital, Coatue Management, In-Q-Tel, NVIDIA, and Snowflake. Learn more here. Domino.

SOURCE Domino Data Lab



Source link

Leave a Reply

Your email address will not be published. Required fields are marked *