The Technology Innovation Institute (TII) and Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) are partnering to advance Abu Dhabi's smart city vision by 2030. TII's AI and Digital Science Research Center (AIDRC) will mentor MBZUAI faculty and students in developing AI models for cybersecurity and smart city applications over three years. The collaboration will focus on securing systems like sustainable buildings, 5G networks, and autonomous systems. Why it matters: This partnership strengthens Abu Dhabi's AI and cybersecurity capabilities, contributing to the UAE's position as a leader in R&D innovation for smart city technologies.
The Technology Innovation Institute (TII) in Abu Dhabi has launched Falcon LLM, a 40 billion parameter large language model (LLM). Developed by the AI and Digital Science Research Center (AIDRC), Falcon LLM outperforms GPT-3 while using less training compute. The model was trained on one trillion tokens and will impact fields like education and healthcare. Why it matters: This release establishes the UAE as a major player in generative AI and supports the nation's AI strategy.
The AI and Digital Science Research Center (AIDRC) at TII collaborated with Greenerwave to conduct the first end-to-end 6G Reflective Intelligent Surface (RIS) multi-reflector trial at 27 GHz, using multiple RIS units for seamless HD video streaming. This initiative leverages multiple RIS units, aiming to foster new generation networks, as RIS is a key enabler of 6G. Greenerwave's technology enables full control of the impinging EM wave and reflects it in the right direction. Why it matters: The trial strategically positions the UAE as a leader in 6G technology development in the region and strengthens its advanced technology landscape.
Technology Innovation Institute (TII) has appointed Dr. Hakim Hacid as Chief Researcher of its AI and Digital Science Research Center (AIDRC), the home of the Falcon LLM series. Dr. Hacid previously served as Executive Director and Acting Chief Researcher at TII, after joining in 2022 from Zayed University. He brings expertise in AI, ML, data science, and information retrieval, with prior experience at Bell Labs and Macquarie University. Why it matters: The appointment strengthens TII's leadership in AI research and development, particularly for the Falcon series of open-source LLMs that have gained global recognition.
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.
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.
Four researchers from TII's AI and Digital Science Research Center (AIDRC) and Autonomous Robotics Research Center (ARRC) have been named among the world's top 2% of scientists by Elsevier BV and Stanford University. Prof. Mérouane Debbah, Dr. Daniel Benevides da Costa, Prof. Dr. George C. Alexandroupoulos, and Prof. Enrico Natalizio were recognized based on career-long achievements and data for 2021. The list considers citations, h-index, and other metrics to identify leading scientists across various fields. Why it matters: This recognition highlights the UAE's growing prominence in AI research and the caliber of talent attracted to institutions like TII, reinforcing its position as a hub for technological innovation.
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.