The Technology Innovation Institute (TII) successfully launched the UAE’s first sounding rocket with hybrid propulsion, reaching an altitude of 3 kilometers. The rocket features a fully UAE-designed, tested, and operated propulsion system using nitrous oxide and high-density polyethylene. The design eliminates complex ground infrastructure and cryogenic handling, enhancing operational safety and efficiency. Why it matters: This marks a major milestone for the UAE's space program, demonstrating the nation's capability to independently build and launch advanced aerospace systems.
The Saudi Cabinet has officially declared 2026 as the “Year of Artificial Intelligence.” This designation aims to accelerate the adoption and development of AI technologies across various sectors in the Kingdom. The initiative reflects Saudi Arabia's commitment to becoming a leader in AI and technology innovation. Why it matters: This declaration signals a significant policy push that will likely drive further investment and initiatives in AI research, development, and deployment throughout Saudi Arabia.
A new approach to composed video retrieval (CoVR) is presented, which leverages large multimodal models to infer causal and temporal consequences implied by an edit. The method aligns reasoned queries to candidate videos without task-specific finetuning. A new benchmark, CoVR-Reason, is introduced to evaluate reasoning in CoVR.
Abu Dhabi’s Technology Innovation Institute (TII) has launched Falcon-H1 Arabic, a new large language model based on a hybrid Mamba-Transformer architecture. The Falcon-H1 family comes in 3B, 7B, and 34B parameter sizes and outperforms existing models on the Open Arabic LLM Leaderboard (OALL). The model features improvements in data quality, dialect coverage, and long-context stability. Why it matters: This release strengthens the UAE's position in Arabic AI and provides a high-performing model tailored to the linguistic and cultural needs of the region.
Technology Innovation Institute (TII) has launched Falcon H1R 7B, an open-source 7B parameter AI model with reasoning capabilities. It outperforms larger models like Microsoft Phi 4 Reasoning Plus 14B, Alibaba Qwen3 32B, and NVIDIA Nemotron H 47B on key benchmarks. The model uses a hybrid Transformer–Mamba architecture for improved accuracy and speed and is available on Hugging Face under the Falcon TII License. Why it matters: This release highlights the UAE's growing role in AI innovation by providing an efficient and accessible model for global research and development.
Technology Innovation Institute (TII) and the World Economic Forum (WEF) have launched the Abu Dhabi Centre for Frontier Technologies. The center will focus on Quantum Computing, Robotics, Propulsion & Space systems, and related AI applications. It will operate within WEF’s Centre for the Fourth Industrial Revolution (C4IR) Global Network. Why it matters: This partnership positions Abu Dhabi as a global hub for advanced technology research and strengthens the UAE's role in shaping the global technology agenda.
The Technology Innovation Institute (TII) and Resource Industries have partnered to integrate autonomous air system technologies into operational defense platforms. The collaboration will embed TII's research, including synthetic aperture radar (SAR) and radio frequency (RF) magnetic mapping, into Resource Industries' aerial platforms. The aim is to enhance intelligence gathering and decision-making in complex environments. Why it matters: This partnership signifies the UAE's commitment to advancing its defense capabilities through indigenous innovation and autonomous systems, aligning with national strategies for technological advancement.
Technology Innovation Institute (TII) and Qualcomm Technologies are collaborating to advance edge-AI and autonomous solutions. The partnership will combine TII's robotics expertise with Qualcomm's edge-computing platforms to develop intelligent systems for complex environments. TII will explore Qualcomm's Dragonwing IQ9 and IQ10 platforms to build robots for sectors like energy, mining, construction, and smart cities. Why it matters: This collaboration strengthens the UAE's position in developing advanced autonomous systems and edge-AI technologies for critical industries, fostering innovation and economic growth.
The Technology Innovation Institute (TII) in Abu Dhabi has launched a cloud service providing access to its in-house Quantum Processing Units (QPUs), which range from 5 to 25 qubits. Initially available to TII partners, the service allows users to run quantum workloads on TII’s quantum hardware via the cloud, using the open-source Qibo framework as the software layer. These QPUs feature in-house fabricated chips and demonstrate quantum coherence times up to ten times longer than TII's first-generation prototypes. Why it matters: This launch provides a platform for experimentation and development of hybrid quantum-classical workflows on locally developed infrastructure, accelerating quantum research in the region.
The Technology Innovation Institute (TII) and NYU Abu Dhabi (NYUAD) have signed a collaboration agreement to deepen strategic collaboration in research, education, and talent development. The partnership includes a Research and Development Sponsorship Agreement and a Framework Fellowship Program Agreement. TII and NYUAD will collaborate on joint research projects across areas like AI, robotics, and quantum science, and TII will sponsor NYUAD students for research in priority technology domains. Why it matters: The partnership aims to bridge fundamental research with real-world applications, accelerate scientific discovery, and develop a pipeline of skilled researchers in Abu Dhabi.
The Technology Innovation Institute (TII) in Abu Dhabi has launched a cloud API providing access to quantum-inspired algorithms developed by its Quantum Research Center (QRC). The platform offers a testbed for partners to evaluate and build proof-of-concept applications, with the first algorithm being a quantum annealing emulator. Access is provided through two interfaces, enabling large-scale classical simulations and supporting the solution of combinatorial optimization problems. Why it matters: This initiative expands TII's quantum ecosystem and facilitates applied research and early-stage industry experimentation with advanced computational methods in the GCC region.
The Technology Innovation Institute (TII) in Abu Dhabi has integrated its Quantum Computing Cloud Platform with NVIDIA CUDA-Q. This allows global researchers to submit quantum jobs to TII's physical quantum hardware and simulators using the CUDA-Q programming interface. The integration provides a unified "write-once, run-anywhere" experience for quantum job submission. Why it matters: This partnership enhances the accessibility and performance of TII's quantum computing resources, integrating the UAE's quantum capabilities into the global high-performance computing landscape.
The Technology Innovation Institute (TII) in Abu Dhabi, in collaboration with NVIDIA, has demonstrated large-scale simulations of the adiabatic quantum annealing (QA) algorithm for problem instances involving up to 500,000 qubits. TII's simulator achieved solution quality exceeding that of all solvers evaluated from the MQLib repository, a library for combinatorial optimization benchmarking. The emulator is accessible to external users via an experimental cloud platform hosted at https://q-inspired.tii.ae. Why it matters: This collaboration expands the range of complex optimization problems that can be investigated using quantum-inspired approaches, beyond those currently achievable with near-term quantum hardware.
The paper introduces SectEval, a new benchmark to evaluate sectarian biases in LLMs concerning Sunni and Shia Islam, available in English and Hindi. Results show significant inconsistencies in LLM responses based on language, with some models favoring Shia responses in English but Sunni in Hindi. Location-based experiments further reveal that advanced models adapt their responses based on the user's claimed country, while smaller models exhibit a consistent Sunni-leaning bias.
This study introduces a reinforcement learning (RL) framework using Proximal Policy Optimization (PPO) and Soft Actor-Critic (SAC) to optimize the cleaning schedules of photovoltaic panels in arid regions. Applied to a case study in Abu Dhabi, the PPO-based framework demonstrated up to 13% cost savings compared to simulation optimization methods by dynamically adjusting cleaning intervals based on environmental conditions. The research highlights the potential of RL in enhancing the efficiency and reducing the operational costs of solar power generation.
MBZUAI researchers have developed an automatic interview system that uses LLMs to elicit nuanced, role-specific information from job candidates, improving early-stage hiring decisions. The system updates its belief about an applicant's rubric-oriented latent traits in a calibrated way based on their interview performance. Evaluation on simulated interviews showed the system's belief converges towards the simulated applicants' constructed ability levels.