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Skylark Labs will demonstrate advanced counter-unmanned aerial system (C-UAS) technology at the Technology Innovation Discovery Event (TIDE) 2024, having been selected by the Office of Innovation and Modernization.
Skylark Labs will display its ARIES (Aerial Reconnaissance & Elimination System) and other proprietary technologies at TIDE 2024, taking place on August 28 at the Dulles Expo Center in Chantilly, Virginia.
The company’s systems are designed to detect, classify, and respond to emerging threats in real-time, providing critical support for defense and intelligence operations.
Skylark’s solutions integrate seamlessly with existing systems, improving operational efficiency while reducing costs. This approach eliminates the need for frequent manual updates, and increases overall mission success rates and warfighter safety.
Sponsored by the Office of the Under Secretary of Defense for Research and Engineering (OUSD(R&E)), TIDE 2024 is a key platform for discovering emerging technologies with the ability to enhance strategic and operational capabilities.
Skylark Labs’ AI technology is designed to address a gap in modern defense operations by providing real-time adaptive intelligence in changing threat environments.
The company’s self-learning AI adapts to new threats across multiple domains without requiring manual updates, enhancing situational awareness and accelerating decision-making for warfighters.
Previously, Skylark Labs demonstrated the ARIES system to key Department of Defense stakeholders, showcasing its ability to detect and track drones beyond visual line of sight (BVLOS). The successful demonstration showcased ARIES’ potential to enhance counter-UAS operations, providing critical real-time intelligence for rapid decision-making.
Dr. Amarjot Singh, CEO of Skylark Labs, commented; “We’re honored to showcase our advancements at TIDE 2024. Our adaptive AI represents a leap forward in autonomous threat detection and response, offering unprecedented capabilities for defense applications.
“Our adaptive AI technology surpasses traditional static systems by continuously learning at the edge. This capability is crucial for maintaining situational awareness and enabling rapid, informed decisions in dynamic environments.”
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