A research paper by Dr. Reda Alami of the AI and Digital Science Research Center (AIDRC) at TII has been accepted for publication at the 14th Asian Conference on Machine Learning (ACML 2022). The paper addresses sequential decision-making under uncertainty in non-stationary environments, proposing a Bayesian Change-Point Detection with Thompson Sampling (Bayesian-CPD-TS) algorithm. The algorithm combines decision-making under uncertainty and sequential detection of abrupt changes. Why it matters: This recognition highlights the growing AI research capabilities within the UAE and its contribution to the global machine learning community.
A research paper co-authored by Dr. Maxim Panov and Kirill Fedyanin from the AI and Digital Science Research Center (AIDRC) has been accepted for publication at NeurIPS 2022. The paper, titled “Nonparametric Uncertainty Quantification for Single Deterministic Neural Network”, proposes a fast and scalable method for uncertainty quantification in ML models. The method disentangles aleatoric and epistemic uncertainties and was validated on text classification and image datasets including MNIST and ImageNet. Why it matters: This demonstrates the growing AI research capabilities and contributions from the UAE to the global AI community, particularly in fundamental machine learning research.
Professor Mérouane Debbah, Chief Researcher at AIDRC, and his co-authors received the 2022 IEEE TAOS TC Best GCSN Paper Award for their work on federated quantized neural networks. The paper, presented at IEEE ICC 2022, explores the tradeoff between energy, precision, and accuracy in these networks. The research proposes an optimal quantization level to minimize energy consumption during training, making it less prohibitive for mobile devices. Why it matters: The award recognizes work that reduces the carbon footprint of large-scale AI systems, a key challenge for sustainable AI deployment in the region and globally.
Researchers from the AI and Digital Science Research Center (AIDRC) won the Best Paper Award at the 2022 IEEE Global Communications Conference (GLOBECOM) for their paper "RSMA for Dual-Polarized Massive MIMO Networks: A SIC-Free Approach". The paper introduces a dual-polarized RSMA technique for downlink massive MIMO networks, using the polarization domain. Their approach relaxes the computational burden of successive interference cancellation and delivers high data rates. Why it matters: This award recognizes impactful research from the UAE on optimizing wireless communication using AI, which can contribute to advancements in 5G and beyond.
AIDRC researchers Dr. Lina Bariah and Prof. Mérouane Debbah co-authored a paper on the interplay of AI and Digital Twin Technology (DTT) for future wireless networks. The paper explores how AI can enhance the reliability and efficiency of DTT, unifying model-driven and data-driven approaches for 6G networks. The research aligns with the UAE National Strategy for AI 2031, aiming to advance the UAE's position in AI and Metaverse technologies. Why it matters: This work contributes to the development of AI-powered Metaverse applications and the advancement of wireless communication technologies in the UAE.