Research and Testing
TelecomAI-Lab focuses on developing and validating AI-based solutions for telecommunications, particularly in wireless and satellite communication systems. Its research explores neuromorphic computing paradigms for energy-efficient and high-performance signal processing, as well as AI-driven enhancements for 5G/6G networks and non-terrestrial networks (NTN). The lab also investigates AI-based optimisations in physical layer communications, resource allocation, and interference management.
Facilities and Equipment
The TelecomAI-Lab is equipped with cutting-edge AI accelerators and neuromorphic processors to drive innovation in communication systems. Key hardware resources include:
- Neuromorphic processors, such as Akida (BrainChip) and Loihi (Intel), designed for bio-inspired, low-power computation.
- AI accelerators, including the Versal AI Core Series VCK family, optimised for AI-based signal processing and edge computing.
- High-performance computing (HPC) resources for training and deploying deep learning models in communication networks.
Unlike traditional communication laboratories, TelecomAI-Lab focuses on AI-native solutions for signal processing and network optimisation.

Services offered
Collaborative Research Projects – SnT Partnership Programme
We co-invest 50-50 in collaborative research projects with public and private partners through our Partnership Programme.
Key benefits for partners:
• Gain access to world-class research and talent
• Leverage our state-of-the-art infrastructure
• Get 50-50 co-financing for our joint project
• Qualify for additional funding opportunities for public/private partnerships
Learn more about our Partnership Programme.
Other collaboration opportunities
The facility actively collaborates with industry partners, research institutions, and space agencies to develop AI-driven solutions for next-generation communication systems. Its work contributes to international efforts in neuromorphic AI for telecommunications, edge AI processing, and energy-efficient communications.