On June 27, 2023, the Army's Rapid Capabilities and Critical Technologies Office's Mid-Range Capability Project Office, in conjunction with Soldiers from 1st Multi-Domain Task Force, and the U.S. Navy ...

Abstract: Despite the remarkable accomplishments of graph neural networks (GNNs), they typically rely on task-specific labels, posing potential challenges in terms of their acquisition. Existing work ...

The United States reached a historic milestone in the contested development of hypersonic weapons as a new long-range missile system was deployed overseas for the first time. The deployment of the ...

Laboratory for Biomolecular Simulation Research, Institute for Quantitative Biomedicine, and Department of Chemistry and Chemical Biology, Rutgers University, Piscataway 08854, New Jersey, United ...

A technique that hostile nation-states and financially motivated ransomware groups are using to hide their operations poses a threat to critical infrastructure and national security, the National ...

Since the dawn of warfare, commanders have looked for ways to increase the speed and range of their ability to find enemy forces, determine their location and develop an appropriate response. First ...

In 2020, nearly 3 million scientific and engineering papers were published worldwide (White, K. Publications Output: U.S. Trends And International Comparisons). The vastness of the literature that ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Multidomain attacks are on the verge of ...

Large Language Models (LLMs) have revolutionized artificial intelligence applications across various fields, enabling domain experts to use pre-trained models for innovative solutions. While LLMs ...

Abstract: The Quadratic assignment problem (QAP), referring to finding an optimal assignment between two sets of interrelated objects, is a fundamental problem in combinatorial optimization. It is ...

Swift Graphs library provides a composable and extensible foundation for working with graphs. Whether you're constructing binary trees, performing complex graph traversals, or optimizing pathfinding ...