At AETHER, we push the boundaries of what's possible through interdisciplinary research.
Toolings (gyms, simulations and middleware) and experimentation for autonomous multi-agent robotic swarms and coordination.
Realistic systems to control large-scale robotic swarms and improve training, safety and operations.
Next-gen neural interfaces that monitor the human controller, improve decision-making and augment procedural capabilities.
AETHER hosted five Raffles Girls' School students for a week-long Work Experience Programme exploring AI, radar sensing, physiological monitoring, and defence technology.
AETHER
In this article, we introduce ASTRA, an aviation-specific, Singaporean-accented TTS system for AETHER.
Wu Enjia
In this article, we present AERO, an open source multi-agentic system for ML research and orchestration.
Jacob Wong, Ethan Lau and Charmaine Chua
In this article, we present a modular, LLM-powered information retrieval framework for secure, multi-source search.
Nicholas Lee and Tew En Hao
In this article, we introduce ANNoDE, a real-time neural system for speaker diarization and transcription.
Chua Jia Jun
In this article, we explore the Boids Algorithm for generating scalable, natural drone swarm motion in 3D.
Ian Lim
No research papers found matching that query.