General AI research publications from MBZUAI, KAUST, TII, QCRI, and other GCC institutions, including conference papers, journal articles, and preprints.
This work presents a dual pose-graph architecture for robust real-time localization in autonomous drone racing. The system fuses monocular visual-inertial odometry with semantic gate detections, using a temporary graph to optimize multiple observations into refined constraints before promoting them to a persistent main graph. Evaluated on the TII-RATM dataset and deployed in the A2RL competition, it achieved a 56-74% reduction in Absolute Trajectory Error (ATE) compared to standalone VIO and reduced odometry drift by up to 4.2 meters per lap. Why it matters: This research significantly improves the reliability and accuracy of vision-based localization for high-speed autonomous drones, crucial for advanced robotics applications and competitive racing.
The UAE has been recognized as a leading global Artificial Intelligence (AI) hub, according to the latest AI Index report. This prominent ranking highlights the nation's significant advancements and strategic investments in developing its AI ecosystem. The report assesses various aspects including research output, private investment, and government initiatives that contribute to a country's AI capabilities. Why it matters: This recognition validates the UAE's ambitious national AI strategy and its efforts to position itself as a key player and innovation leader in the global AI landscape.
A global report has identified the United Arab Emirates (UAE) as a leading international hub for artificial intelligence. This recognition positions the UAE among top-tier nations actively shaping the global AI landscape. The report likely highlights the nation's significant strategic investments in AI infrastructure, research, and policy initiatives. Why it matters: This underscores the effectiveness of the UAE's national AI strategy and reinforces its growing influence and competitive edge in the global technological sphere.
The UAE has been recognized as one of the leading global AI hubs in the AI Index 2026 report. This ranking highlights the country's significant advancements in artificial intelligence development and adoption. The report likely assesses various factors including investment, research output, talent attraction, and government strategy to position nations in the global AI landscape. Why it matters: This recognition reinforces the UAE's strategic vision to become a global leader in advanced technologies, attracting further investment and talent to the region's burgeoning AI ecosystem.
G42, an Abu Dhabi-based AI technology holding company, and Microsoft have announced the establishment of a Responsible AI Foundation. This new initiative aims to foster the ethical and safe development and deployment of artificial intelligence. The foundation is expected to set standards and promote best practices for responsible AI across various industries. Why it matters: This partnership between a leading regional AI player and a global tech giant is crucial for advancing AI ethics and governance frameworks in the Middle East and beyond.
Saudi Arabia is reportedly implementing frameworks and methodologies to systematically measure AI readiness across its various government entities. These initiatives aim to establish clear benchmarks and track the progress of AI adoption and capability development within the public sector. The efforts involve defining key performance indicators and developing assessment models to guide the national AI strategy. Why it matters: This systematic approach is crucial for Saudi Arabia to effectively integrate AI into public services, improve governance, and achieve its Vision 2030 goals for technological advancement and digital transformation.
The Stanford AI Index report highlighted Saudi Arabia's leading position in several critical areas related to artificial intelligence. The report recognized the Kingdom's advancements in AI security, privacy, and cryptography. Additionally, Saudi Arabia was noted for its progress in women's empowerment within the AI sector. Why it matters: This external validation from a prominent global report underscores Saudi Arabia's strategic focus and progress in developing a responsible and inclusive national AI ecosystem.
Researchers at King Abdullah University of Science and Technology (KAUST) have demonstrated a novel method to permanently convert carbon dioxide (CO₂) into solid rock underground. This system recycles water already present deep underground, addressing the critical water scarcity challenge for CO₂ mineralization in arid regions. In a field trial in western Saudi Arabia, 131 tons of CO₂ were injected into ancient basalt formations, with approximately 70% mineralized into solid minerals within ten months. Why it matters: This breakthrough significantly expands the global potential for carbon mineralization as a secure CO₂ storage solution, particularly in water-stressed industrial areas.
The UAE's National Program for Artificial Intelligence (NEP-AI) has announced the shortlisting of 135 finalists for an unspecified initiative. These finalists represent talent drawn from all seven emirates, highlighting the program's nationwide reach. The shortlisting signifies progress in a national effort to foster AI capabilities and human capital within the UAE. Why it matters: This initiative is a concrete step towards strengthening the UAE's domestic AI ecosystem and realizing its strategic ambition to become a leading global hub for artificial intelligence.
Saudi Arabia hosted the 'Saudi Day of Digital Transformation and AI' event at the World Bank. The event brought together international stakeholders to discuss the future of digital transformation and artificial intelligence. A key focus of the discussions was global AI governance and developing international frameworks for ethical and responsible AI deployment. Why it matters: This demonstrates Saudi Arabia's growing influence and commitment to participating in and shaping international dialogue on critical AI policy and governance issues.
RightNow-Arabic-0.5B-Turbo is a new 518M-parameter Arabic-specialized decoder LLM, built on Qwen2.5-0.5B, designed to bridge the gap between small multilingual and large Arabic-specialized models. Its development pipeline included adding 27,032 Arabic tokens via vocabulary injection, continued pretraining on 504M Arabic tokens, and fine-tuning with supervised instruction and direct preference optimization. The model achieved a 35.9% mean accuracy on three Arabic benchmarks (COPA-ar, Arabic HellaSwag, ArabicMMLU), outperforming all same-class open models and recovering 67% of SILMA-9B's mean accuracy at 1/18 the parameters, with all code and weights publicly released. Why it matters: This model significantly advances efficient Arabic NLP by providing a powerful, specialized sub-1B LLM suitable for edge deployment, making advanced Arabic AI more accessible and performant on resource-constrained devices.
Professor Omar Knio, Dean of the Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division at KAUST, has been named a 2026 SIAM Fellow. This prestigious recognition from the Society for Industrial and Applied Mathematics honors his leadership in uncertainty quantification and multiscale mathematics. His research areas include applications in combustion, energetic materials, geophysical fluid dynamics, high-performance computing, and data-enabled predictive science. Why it matters: This recognition highlights KAUST's global standing in applied mathematics and computational science, reinforcing its role as a hub for scientific talent and interdisciplinary research crucial for advanced technological development in Saudi Arabia.
Based on the title, UAE researchers are exploring the application of artificial intelligence for the early detection of Alzheimer's disease. The research aims to identify the condition up to 20 years prior to the typical onset of symptoms, representing a significant advancement if achieved. This initiative underscores the UAE's strategic commitment to leveraging AI for major breakthroughs in healthcare. Why it matters: Such a breakthrough in ultra-early Alzheimer's detection could revolutionize preventative care and treatment strategies globally, offering an unprecedented window for intervention and disease management.
Saudi Arabia (KSA) and the World Bank have engaged in discussions concerning the future of Artificial Intelligence governance. These high-level talks likely centered on developing international frameworks and ethical guidelines for the responsible advancement and deployment of AI technologies. The collaboration seeks to ensure sustainable and equitable AI development practices within the Kingdom and on a global scale. Why it matters: This dialogue underscores a joint commitment from KSA and a major international institution to proactively shape global AI policy, which is crucial for fostering ethical and responsible AI innovation in the Middle East.
Researchers proposed a severity-aware weighted loss method to fine-tune Arabic language models for medical text generation, prioritizing severe clinical cases. This approach utilizes soft severity probabilities, derived from an AraBERT-based classifier, to dynamically scale token-level loss contributions during optimization on the MAQA dataset. The method consistently improved performance across ten Arabic LLMs, with AraGPT2-Base increasing from 54.04% to 66.14% and AraGPT2-Medium from 59.16% to 67.18%. Why it matters: This novel fine-tuning strategy addresses a critical limitation in medical AI by enhancing the safety and reliability of Arabic medical large language models, particularly in high-stakes clinical scenarios.
Arabic-DeepSeek-R1 is an application-driven, open-source Arabic Large Language Model (LLM) that has achieved a new state-of-the-art (SOTA) across the Open Arabic LLM Leaderboard (OALL). The model utilizes a sparse Mixture-of-Experts (MoE) backbone and a four-phase Chain-of-Thought (CoT) distillation scheme, which incorporates Arabic-specific linguistic verification and regional ethical norms. It records the highest average score on the OALL suite and outperforms proprietary frontier systems like GPT-5.1 on a majority of benchmarks evaluating comprehensive Arabic language-specific tasks. Why it matters: This work offers a validated and cost-effective framework for developing high-performing, culturally-grounded AI for under-represented languages, addressing the digital equity gap.
Researchers have developed OmniScore, a family of deterministic learned metrics designed to evaluate generative text as an alternative to Large Language Models (LLMs) used as judges. OmniScore leverages small parameter models (<1B) and was trained on approximately 564,000 synthetic instances across 107 languages, then evaluated using 8,617 manually annotated instances. It approximates LLM-judge behavior while offering low latency and consistency for various evaluation settings like reference-based and source-grounded assessments in tasks like QA, translation, and summarization. Why it matters: This development provides a practical, scalable, and reproducible method for multilingual generative text evaluation, addressing key limitations of LLM-as-a-judge approaches and offering significant benefits for AI development in linguistically diverse regions.
The US-UAE AI working group conducted its inaugural meeting, focusing on enhancing collaboration and alignment in the field of artificial intelligence. This initiative aims to foster deeper cooperation between the two nations on AI development, regulation, and ethical frameworks. The discussions signify a mutual commitment to advancing AI capabilities while addressing its societal implications. Why it matters: This high-level bilateral engagement is crucial for shaping international AI governance standards and accelerating technological progress within the Middle East.
QIMMA is introduced as a quality-assured Arabic LLM leaderboard that places systematic benchmark validation at its core. It employs a multi-model assessment pipeline combining automated LLM judgment with human review to identify and resolve quality issues in established Arabic benchmarks. The resulting evaluation suite comprises over 52,000 samples, predominantly grounded in native Arabic content, with transparent implementation via LightEval and EvalPlus. Why it matters: This initiative provides a more reliable and reproducible foundation for evaluating Arabic Large Language Models, addressing critical quality concerns in existing benchmarks.
The United Arab Emirates is reportedly experiencing a high volume of cyberattacks, reaching up to 700,000 incidents daily, as reported by Gulf News. These attacks are occurring amid heightened regional tensions, indicating a sophisticated and persistent threat landscape. This ongoing situation poses significant challenges to the UAE's digital infrastructure and national security. Why it matters: This high frequency of cyberattacks underscores the critical need for advanced cybersecurity measures and the potential for AI-driven defense solutions in the region to protect vital infrastructure and data amidst geopolitical instability.
Saudi Arabia is reportedly implementing a strategic initiative aimed at developing a new generation of female leaders in the artificial intelligence field. This push seeks to equip women with the necessary skills and opportunities to take on leadership roles within the burgeoning AI sector. The program is framed as a model for global study, suggesting a comprehensive and forward-thinking approach to talent development. Why it matters: This initiative signifies a strong national commitment from Saudi Arabia to diversify its AI workforce and foster local talent, potentially setting a precedent for other nations in the region and beyond.
Researchers from MBZUAI have introduced WR-Arena, a new comprehensive benchmark designed to evaluate World Models (WMs) beyond traditional next-state prediction and visual fidelity. WR-Arena assesses WMs across three core dimensions: Action Simulation Fidelity, Long-horizon Forecast, and Simulative Reasoning and Planning, using a curated task taxonomy and diverse datasets. Extensive experiments with state-of-the-art WMs revealed a significant gap between current models' capabilities and human-level hypothetical reasoning. Why it matters: This benchmark provides a critical diagnostic tool and guideline for developing more robust and intelligent world models capable of advanced understanding, forecasting, and purposeful action, particularly for AI research in the region.
Researchers developed a retrieval-augmented generation (RAG) framework to improve Arabic Large Language Models (LLMs) in understanding complex historical and religious texts like the Quran and Hadith. This framework grounds LLMs in the Doha Historical Dictionary of Arabic (DHDA) through hybrid retrieval and intent-based routing. The approach significantly boosted the accuracy of Arabic-native LLMs such as Fanar and ALLaM to over 85%, closing the performance gap with proprietary models like Gemini. Why it matters: This research offers a novel method for enhancing Arabic NLP capabilities for historically nuanced texts, demonstrating the value of integrating diachronic lexicographic resources into RAG systems for deeper language understanding.
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.
The Center for Strategic and International Studies (CSIS) has published an analysis asserting that data has become a critical front line in modern warfare. The report argues that nations must prioritize robust capabilities in data collection, protection, and advanced analysis to maintain a strategic advantage in a competitive global landscape. It highlights how the ability to access and control vast information flows is increasingly pivotal for determining outcomes in geopolitical contests and armed conflicts. Why it matters: This analysis underscores the imperative for Middle Eastern nations to strategically invest in secure data infrastructure and AI-driven intelligence systems to safeguard national interests and inform policy in an evolving global security environment.
The Technology Innovation Institute (TII) has launched Falcon Perception, a new 600-million-parameter multimodal AI model. This model offers competitive performance in object segmentation, dense visual understanding, and document intelligence, rivalling larger systems like Meta’s SAM3 and Alibaba’s Qwen with significantly greater efficiency. Falcon Perception unifies image and language processing in a single architecture, designed for real-world deployment in compute-constrained environments. Why it matters: This development positions the UAE among leading nations in advanced multimodal AI, which is crucial for applications in robotics, advanced manufacturing, and autonomous platforms.
Hamad Bin Khalifa University (HBKU) has released Fanar 2.0, the second generation of Qatar's Arabic-centric Generative AI platform, built entirely at QCRI. The core of Fanar 2.0 is Fanar-27B, which was continually pre-trained from a Gemma-3-27B backbone using 120 billion high-quality tokens and only 256 NVIDIA H100 GPUs. Fanar 2.0 includes capabilities like FanarGuard, Aura, Oryx, Fanar-Sadiq, Fanar-Diwan, and FanarShaheen for moderation, speech recognition, vision understanding, Islamic content, poetry generation, and translation. Why it matters: This shows that sovereign, resource-constrained AI development in the Arabic language is possible, producing competitive systems in the region.
Researchers from LENS, CNR-INO, the University of Florence, UNAM, RPTU University Kaiserslautern-Landau, and TII Abu Dhabi have observed Shapiro steps in ultracold atoms for the first time. This allows for real-time observation of quantum mechanics and could lead to advanced quantum sensors and simulation. The experiments involved creating vortex-antivortex pairs, resulting in step-like signals, and the findings were published in Science. Why it matters: This breakthrough provides a new method to observe and control quantum coherence, potentially enabling advancements in quantum technologies and simulations within the region.
TII and Honeywell are partnering to develop quantum-secure satellite communication systems. Honeywell's ‘QKDSat’ platform will integrate with TII’s Abu Dhabi Quantum Optical Ground Station (ADQOGS) to test QKD links between satellites and terrestrial networks. The collaboration aims to build quantum-resilient communication infrastructure for government, security, and commercial use. Why it matters: This initiative positions Abu Dhabi as a key player in advancing global cybersecurity and quantum communication technologies.
Technology Innovation Institute (TII) and Mila, the Quebec AI Institute, announced a strategic partnership to collaborate on AI safety and next-generation machine learning models. TII will establish a research lab at Mila in Montreal, enabling collaboration between UAE-based researchers and Mila's AI specialists. The partnership aims to translate scientific advances into real-world impact and strengthen the global research ecosystem. Why it matters: This collaboration enhances UAE-Canada scientific ties, positioning both communities for breakthroughs in areas like LLMs and AI safety, aligning with the UAE's vision to become a global AI research hub.
Dassault Aviation, TII, and ASPIRE (both part of ATRC) signed a strategic cooperation agreement at the Dubai Airshow 2025. The collaboration will focus on developing technologies for aerospace and defense, including stealth materials, autonomous sub-systems, AI, and secure communication systems. The partnership aims to deliver homegrown innovations, strengthen the UAE's industrial ecosystem, and expand global export opportunities. Why it matters: This agreement signifies the UAE's commitment to fostering local talent and achieving self-reliance in strategic sectors like aerospace and defense through advanced technology partnerships.
Technology Innovation Institute (TII) and Thales have signed a collaboration agreement at the Dubai Airshow 2025. The partnership aims to accelerate the development of technologies in quantum, autonomous systems, and directed energy. The collaboration seeks to transition research into real-world deployment, strengthening UAE–France cooperation in advanced science and technology. Why it matters: This partnership highlights the UAE's commitment to building sovereign R&D capabilities and fostering global technology collaboration in key areas.
Safran.AI and the Technology Innovation Institute (TII) intend to form a strategic alliance to develop a next-generation Agentic AI geospatial intelligence (GEOINT) platform. The platform will combine Safran.AI’s GEOINT expertise with TII’s expertise in Agentic AI and orchestration platforms, enabling autonomous reasoning and transforming spaceborne imagery into decision-grade intelligence. The collaboration will focus on three major technological streams. Why it matters: This partnership signifies a major advancement in sovereign geospatial intelligence capabilities within the UAE, moving from traditional analysis to autonomous understanding for enhanced national security and decision-making.
TII and Space42 are partnering to develop the UAE’s first space-to-ground quantum communication network, integrating satellite and ground-based systems using Quantum Key Distribution (QKD) technology. The collaboration aims to develop, test, and deploy a space-based QKD solution, validating secure quantum communication links via satellite. The agreement, signed at the Dubai Airshow, covers R&D, payload development, satellite integration, and ground infrastructure. Why it matters: This initiative strengthens the UAE's cyber resilience and positions it as a leader in secure communication technologies and quantum-secure space systems.
Technology Innovation Institute (TII) has integrated its open-source quantum middleware, Qibo, with the NVIDIA CUDA-Q platform. This allows researchers at TII to design, test, and optimize quantum workflows more efficiently across computing architectures. The integration enables interoperability between Qibo and the Quake Multi-Level Intermediate Representation dialect used in CUDA-Q, facilitating experimentation and development across quantum computing stacks. Why it matters: This advancement strengthens the UAE's position in quantum technology by improving the performance and accessibility of quantum computing hardware platforms.
The Technology Innovation Institute (TII) in Abu Dhabi has successfully designed, built, and test-fired the UAE’s first liquid rocket engine, a 250-newton thruster. The engine achieved combustion efficiencies of up to 94% during testing, with over 50 successful firings. The program aims to scale propulsion designs and develop advanced engine technologies. Why it matters: This milestone strengthens the UAE's sovereign space capabilities and enables the design of propulsion systems for orbital maneuvering and future space missions.
The Technology Innovation Institute (TII) in Abu Dhabi has launched Manarat, a custom-developed control electronics platform for quantum computing. Manarat can control 10 qubits with high accuracy and synchronizes multiple electronic boards with accuracy exceeding 100 picoseconds. TII claims Manarat is five times more cost-efficient than commercial alternatives. Why it matters: This development marks a step toward large-scale quantum computing in the UAE and establishes sovereign capabilities in quantum technologies.
The Technology Innovation Institute (TII) in Abu Dhabi has launched a 2-micrometer high-power fiber laser for medical and industrial applications. Developed by TII's Directed Energy Research Center, the Thulium-based laser is efficient, compact, and scalable, enabling precise interaction with water-rich materials. TII has partnered with LIMA Photonics, a German MedTech startup, to integrate the laser into clinical solutions, including urinary stone treatment and prostate surgery. Why it matters: This laser technology and partnership showcase the UAE's commitment to translating advanced research into healthcare solutions, positioning Abu Dhabi as a hub for medical technology innovation.
TII and NVIDIA have partnered to launch the first AI & Robotics NVAITC Joint Lab in the Middle East, located in Abu Dhabi. The lab will focus on developing next-generation AI models, robotics platforms, and humanoid technologies. It aims to integrate NVIDIA's computing platforms with TII's research in AI, robotics, autonomous systems, and high-performance computing, including the Falcon family of AI models. Why it matters: This collaboration positions Abu Dhabi as a leader in applied AI and robotics, contributing to the UAE's technological sovereignty and its role in the global AI ecosystem.
TII and ADSB have launched a Naval Technology Innovation Hub to accelerate naval technology R&D. The hub will focus on autonomy, propulsion, materials, and secure systems, with joint initiatives exploring quantum magnetic sensing, autonomous robotics, and advanced materials. The collaboration aims to transition advanced technologies from concept to deployment, reinforcing Abu Dhabi’s position in maritime innovation. Why it matters: This partnership signifies a major push towards indigenous development of advanced naval capabilities in the UAE, fostering innovation and reducing reliance on foreign technologies.
The Technology Innovation Institute (TII) in Abu Dhabi has partnered with Quantinuum to gain access to advanced quantum computing systems, including Quantinuum's upcoming Helios system. This agreement aims to accelerate the development and benchmarking of quantum computing algorithms and commercial applications in the UAE. TII's Quantum Research Center will leverage this access to improve quantum algorithms and train algorithm developers. Why it matters: This partnership strengthens the UAE's position as a global leader in science and technology by providing access to state-of-the-art quantum computing resources.
Researchers at TII, in cooperation with University Paderborn and Ruhr University Bochum, have discovered a vulnerability called the Opossum Attack in Transport Layer Security (TLS) impacting protocols like HTTP(S), FTP(S), POP3(S), and SMTP(S). The vulnerability exposes a risk of desynchronization between client and server communications, potentially leading to exploits like session fixation and content confusion. Scans revealed over 2.9 million potentially affected servers, including over 1.4 million IMAP servers and 1.1 million POP3 servers. Why it matters: This discovery highlights the importance of ongoing cybersecurity research in the UAE and internationally to identify and address vulnerabilities in fundamental internet protocols, especially as it led to immediate action by Apache and Cyrus IMAPd.
Technology Innovation Institute (TII) has developed a drone-based Synthetic Aperture Radar (SAR) system capable of detecting underground water leaks at depths of up to 40 meters. The system uses P-, L-, and C-band radar signals to identify anomalies in soil moisture and subsurface disturbances. The SAR technology was previously validated for archaeology and infrastructure and is now optimized for sandy environments. Why it matters: This innovation offers a more efficient and sustainable method for monitoring infrastructure, reducing water loss and maintenance costs for utilities across the region.
Abu Dhabi's Technology Innovation Institute (TII) has developed AI-driven drone technology enabling swarms to collaborate and independently organize tasks without central command. These drones utilize decentralized AI algorithms to adapt formation and behavior based on shared objectives, enhancing scalability and real-time decision-making. TII is collaborating globally to test real-world applications, including disaster management, crop health monitoring, and ecosystem restoration. Why it matters: This advancement positions the UAE as a leader in autonomous robotics and offers solutions for critical applications like disaster response and environmental monitoring.
TII in Abu Dhabi has launched Falcon Arabic, the first Arabic language model in the Falcon series, which is now the best-performing Arabic AI model in the region. They also released Falcon H1, a new model designed for performance and portability, outperforming Meta’s LLaMA and Alibaba’s Qwen in the small-to-medium size category. Falcon Arabic is built on Falcon 3-7B and trained on a high-quality native Arabic dataset. Why it matters: These releases strengthen the UAE's position as a leader in Arabic language AI and democratize access to high-performance AI models.
The Abu Dhabi Autonomous Racing League (A2RL) concluded its inaugural autonomous drone championship in Abu Dhabi, featuring 14 international teams. Team MavLab (TU Delft) won the AI Grand Challenge, AI vs Human Showdown, and AI Drag Race, while TII Racing (Technology Innovation Institute, Abu Dhabi) won the AI Multi-Autonomous Drone Race. In the AI vs Human challenge, MavLab's AI-powered drone outpaced a top human pilot in a complex head-to-head race. Why it matters: This event demonstrates the rapid advancements in AI-driven autonomous flight, positioning the UAE as a hub for innovation in aerial robotics and autonomous systems.
Abu Dhabi's Technology Innovation Institute (TII) has developed a new quantum optimization solver in collaboration with NVIDIA, Los Alamos National Laboratory, and Caltech. The solver addresses large-scale combinatorial optimization problems using a small number of qubits, encoding over 7000 variables with only 17 qubits. Published in Nature Communications, the research demonstrates a hybrid quantum-classical algorithm with a novel encoding scheme that maximizes the use of quantum resources. Why it matters: This advancement marks a significant step toward practical quantum computing applications in the UAE and beyond, particularly in solving complex optimization challenges across various sectors.
Abu Dhabi's Technology Innovation Institute (TII), in collaboration with Google AI Quantum, the University of Maryland, and Freie Universität Berlin, has achieved a breakthrough in analogue quantum simulations. They successfully demonstrated learning large-scale quantum simulator dynamics from data using advanced data-processing algorithms developed by TII's Quantum Research Center. The research, published in Nature Communications, enables unprecedented precision in understanding quantum systems. Why it matters: This advancement positions Abu Dhabi as a key player in quantum research and its applications across material science, pharmaceuticals, and energy, with TII hosting a Quantum Technology Symposium to foster further collaboration.
The Technology Innovation Institute (TII) and ASPIRE, both part of the Advanced Technology Research Council (ATRC), have signed an R&D agreement with ADNOC to advance sustainable energy solutions. The partnership will focus on carbon storage monitoring and battery optimization using quantum technology, as well as initiatives in autonomous robotics and propulsion systems. TII's quantum sensing tech will enhance CCS safety, while magnetic field analysis will improve battery recycling and lifespan prediction. Why it matters: This collaboration between research institutions and a major energy player signals the UAE's commitment to leveraging advanced technology for sustainable energy solutions and carbon reduction.
The Technology Innovation Institute (TII) in Abu Dhabi has launched Falcon 3, a new series of open-source large language models. Falcon 3 models range in size from 1B to 10B parameters and have been trained on 14 trillion tokens. Falcon 3 achieved the top spot on Hugging Face's LLM leaderboard for models under 13 billion parameters. Why it matters: This release democratizes access to high-performance AI by enabling efficient operation on laptops and light infrastructure, solidifying the UAE's position as a leader in open-source AI development.