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# 2025 EagleAI |
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EagleAI accelerates AI using a hybrid electro-photonic architecture that combines electronics with silicon photonics to deliver ultra-fast, energy-efficient computation. Designed for data centres, edge devices, and even extreme environments like space, it performs photonic tensor operations with ultra-low latency and minimal cooling needs. Its chiplet-based design and thermal self-tuning enhance scalability and stability. Offering up to 5× greater energy efficiency than traditional hardware, EagleAI provides a powerful, sustainable alternative for next-generation AI workloads
Tendai Mukande is a doctoral researcher at Dublin City University, specialising in energy-efficient AI methods that alleviate global warming. His research has been published in top-tier venues such as ACM CIKM, IEEE ICEBE and ECIR. Previously, at Huawei, he led the design of Taishan ARM-based servers and high-performance computing solutions, driving scalable ICT infrastructure deployed in 70+ countries. He also contributed to innovative cloud and networking systems that provided digital access for more than 30 million people. Tendai has also served as a peer-reviewer for ACM, IEEE and Elsevier journals, and and as a PC member for various international conferences.more
Smart energy control for compressed air systems in manufacturing
Next-generation dielectric technology for atomically thin semiconductor transistors
