Description:
Led by Dr. Flor Ortiz and Suleima Briseño, the TelecomAI-Lab focuses on the research and development of embedded Artificial Intelligence solutions designed to optimize and revolutionize wireless communications, incorporating neuromorphic computing and satellite applications.
Objectives include:
Neuromorphic architectures and specialized hardware: design and test systems inspired by biological neural networks, capable of executing AI algorithms with high energy efficiency.
Wireless networks and protocol optimization: Develop AI algorithms that autonomously and dynamically manage resource allocation and adaptive intelligence strategies to improve communication performance (bandwidth, latency, security, etc.).
Education and partnerships: Establish collaborations with industry, government agencies and universities to accelerate technology transfer and encourage adoption of these cutting-edge technologies.
Related works:
F. Ortiz et al., "Energy-Efficient on-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing," in IEEE Transactions on Machine Learning in Communications and Networking, vol. 2, pp. 169-189, 2024, doi: 10.1109/TMLCN.2024.3352569.
E. Lagunas et al., “Performance Evaluation of Neuromorphic Hardware for Onboard Satellite Communication Applications”, submitted IEEE Commun. Magazine.
Related projects: SmartSpace, BrainSatCom, NeuroSat
"BrainChip’s flagship product, Akida™, is a fully digital, event-based AI processor IP that mimics the human brain, analyzing essential sensor inputs at the point of acquisition with high efficiency, precision, and energy economy."
The AKIDA chipset arrived to our premises in 2024.
More info: https://open-neuromorphic.org/neuromorphic-computing/hardware/akida-brainchip/
"Intel Labs’ new Loihi 2 research chip outperforms its predecessor by up to 10x and comes with an open-source, community-driven neuromorphic computing framework."
The INTEL chipset arrived to our premises in 2024 as a loan from the Intel Neuromorphic Research Community (INRC).
(C) Picture from Intel
From left to right: Suleima Briseño, Eva Lagunas and Flor Ortiz.