Shield AI today announced\u00a0the expansion of their partnership\u00a0with Singapore\u2019s Defence Science and Technology Agency (DSTA) and the Republic of Singapore Air Force (RSAF) to co-develop and proliferate Artificial Intelligence (AI) across a wider range of autonomous drone applications using Shield AI\u2019s Hivemind software development kit (SDK).<\/p>\n
Building on existing explorations and early use cases, the expansion looks to develop and embed autonomous capabilities across multiple drone\u2019s applications, using the SDK to tailor AI solutions for current operational and future environments. The collaboration has allowed RSAF and DSTA to use Shield AI\u2019s SDK to independently design, test, and deploy mission autonomy.<\/p>\n
Within six months, operational and developer feedback from the RSAF and DSTA has led to refinements to the SDK, strengthening their developers\u2019 capability to develop and deploy mission autonomy for RSAF\u2019s Concept of Operations (CONOPs). The mission autonomy supports users in completing missions safely and effectively without human intervention and is able to reroute around no-fly zones, avoid threats and respond to unexpected conditions.<\/p>\n
\u201cRSAF and DSTA have been outstanding partners,\u201d said Brandon Tseng, Shield AI\u2019s president and co-founder. \u201cThrough their adoption of the Hivemind platform, Singapore is on a path to become the first country outside the United States with true sovereign autonomy, meaning the ability to develop and field its own AI pilots across its platforms. This matters because autonomy is a way to decouple military fighting strength from population size, and in Singapore\u2019s case, from a declining population, a challenge many nations around the world also face.\u201d<\/p>\n
\u201cBuilding our capability to independently develop and field mission autonomy is a priority and an important step forward,\u201d said DSTA\u2019s chief executive Mr Ng Chad-Son. \u201cThis collaboration goes beyond technology adoption. It allows our defence engineers and aircrew to develop hands-on experience that will grow a sustainable pipeline of AI specialists with good operational understanding. We will continue to leverage market solutions to integrate autonomy across a broader spectrum of applications for the RSAF, ensuring our unmanned systems are highly adaptable and mission-ready for any challenge.\u201d<\/p>\n
The agreement was announced during the Singapore Airshow 2026, where Brandon Tseng participated in a panel on autonomy and human-machine teaming. Tom Schaefer, vice president of Hivemind engineering at Shield AI, spoke the same day at the Singapore Aerospace Technology and Engineering Conference, held on the sidelines of the airshow, on software-driven autonomy for next-generation defense systems.The post Shield AI Expands Partnership for Autonomous Drone AI first appeared on AI-Tech Park.<\/p>\n","protected":false},"excerpt":{"rendered":"
Shield AI today announced\u00a0the expansion of their partnership\u00a0with Singapore\u2019s Defence Science and Technology Agency (DSTA) and the Republic of Singapore Air Force (RSAF) to co-develop and proliferate Artificial Intelligence (AI) across a wider range of autonomous drone applications using Shield AI\u2019s Hivemind software development kit (SDK). Building on existing explorations…<\/p>\n
The post Shield AI Expands Partnership for Autonomous Drone AI<\/a> first appeared on AI-Tech Park<\/a>.<\/p>\n<\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-container-style":"default","site-container-layout":"default","site-sidebar-layout":"default","disable-article-header":"default","disable-site-header":"default","disable-site-footer":"default","disable-content-area-spacing":"default","footnotes":""},"categories":[1,374],"tags":[3],"class_list":["post-1118","post","type-post","status-publish","format-standard","hentry","category-ai-and-ml","category-robotics","tag-ai"],"yoast_head":"\n