Phoenix has been specifically trained on local data to ensure accurate responses, surpassing other large language models that are not tailored to Singapore's needs.

Professor Louis Phee noted Singapore's readiness for humanoid robots, driven by the country's technology adoption and manpower shortages.

These robots will initially be controlled remotely by human operators, marking a significant advancement in public safety technology.

Singapore's Home Team Science and Technology Agency (HTX) is set to deploy humanoid robots by mid-2027 to assist frontline workers in high-risk scenarios, including firefighting and search-and-rescue operations.

At the recent AI TechXplore exhibition, four humanoid robot prototypes were showcased, demonstrating their capabilities for complex task management and HTX's commitment to integrating AI in public safety.

Dr. Daniel Teo emphasized the necessity for law enforcement to leverage technology, particularly AI, to effectively combat crime as criminals increasingly exploit technological advancements.

HTX plans to explore over 300 AI use cases to improve communication and workflows for responders, with the first tool expected to be operational by the end of 2025.

The use of drones for crowd management at public events further highlights the evolving landscape of security technology in Singapore.

HTX has introduced Phoenix, a large language model tailored to Singapore's context, which will serve as a chatbot for officers and an API for developers, enhancing communication within the Home Team.

To support this initiative, the Home Team Humanoid Robotics Centre (H2RC) will open by mid-2026, becoming the world's first facility dedicated to humanoid robotics for public safety, backed by a $100 million investment.

The Home Team has a history of utilizing robotic technologies, including patrol robots since 2018 and the Rover-X robotic dog for hazmat operations, showcasing their commitment to innovation in public safety.

HTX has partnered with Mistral AI and Microsoft to develop advanced Generative AI models aimed at improving operational efficiency and supporting decision-making in public safety.