AI Radio Environment Enhances DoD IP and Tactical Networks
What you'll learn:
- Insight into Fuse Integration's AIRE AI application interface.
- How AIRE was designed and what features it offers.
Fuse Integration launched its AIRE (AI Radio Environment) platform, a next-generation AI application interface designed to boost the performance of Department of Defense IP and tactical networks.
According to Fuse, AIRE allows third-party AI developers to train models on real-time RF and network data, creating intelligent algorithms for dynamic optimization of network routing, link prioritization, and increased efficiency. It's also designed to integrate with Fuse's Tactical Edge Network (FTEN), a modular, secure network architecture that offers improved latency, throughput, and reliability.
"Rapid advancements in AI capabilities can now transform the way defense networks are configured to produce desired mission effects," said Sumner Lee, Fuse CEO. "AIRE sets a bold new standard for operational efficiency in tactical environments. It enables AI developers to equip non-engineer warfighters with the ability to make informed, timely network decisions to execute the mission."
Fuse also introduced RANGER (Radio and Network Guidance, Evaluation and Response), an on-device generative-AI tool that takes advantage of a Mixture of Experts (MoE) architecture, a machine-learning approach that splits AI duties into "experts and learners." This means both specialize in a subset of the input data to jointly perform a task.
RANGER runs locally on small SWaP (size, weight, and power) edge devices, such as Fuse's CORE network controller, which provides real-time assistance via chatbot-like interaction. This helps users troubleshoot and optimize network performance without needing advanced knowledge.
"It's exciting to expand our development ecosystem, collaborating with some of the industry's AI/ML leaders to enable rapid scaling of tactical edge networks," said Allen McAfee, Director of Engineering and Technology at Fuse.
