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Robot UAVs Set To Revolutionize Abu Dhabi Maritime Patrols
In a few weeks, robotics experts will compete to create the best autonomous drone to detect criminals along Abu Dhabi’s coastline.
This year, the Mohammed bin Zayed International Robotics Challenge (MBZIRC) Maritime Grand Challenge will pit five elite teams of robotics specialists against one another in the ultimate showdown.
Handpicked from a pool of 52 contenders, the scientists will gather on Yas Island, Abu Dhabi, to solve real-world maritime issues, encompassing problems like illicit fishing, smuggling, and human trafficking, all through the deployment of autonomous drones. Launched in 2017 by Khalifa University, the competition is jointly hosted by ASPIRE and Abu Dhabi’s Advanced Technology Research Council (ATRC).
The scientists’ missions will include tasks such as autonomous target inspection and identification aboard vessels without relying on GPS, object retrieval via drones, and seamless collaboration between UAVs and robotic manipulators.
Professor Lakmal Seneviratne, Director of the Centre for Autonomous Robotic Systems (KUCARS) at Khalifa University, remarked, “We can train our robots and AI to do many things in a very controlled environment,” adding, “For example, factory automation has been around since the 1980s in highly controlled environments. But when you go out into the real world, the uncertainty is huge. So the adaptability and algorithms of our robots are the key aspects to look at in this challenge”.
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Dr. Irfan Hussain, team leader of Fly Eagle, one of the finalists, explained that adaptability will be crucial to win the contest. “They have only a few days to adapt to the environment here, and many parameters are still unknown until the day of the challenge,” says Dr. Hussain. “So their algorithms and their approach need to be robust enough to complete the task regardless of the conditions”.
The unpredictability of the scenarios mirror real-world conditions at sea, where turbulent weather could hamper the missions of autonomous drones tasked with detecting illicit vessels, and GPS signals might also falter in such circumstances.
Come the first week of February, the five finalists will vie for a coveted first-place prize of $2 million to bring their groundbreaking innovations to production.
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UAE-Built Falcon-H1 Arabic Leads LLM Benchmarks
The lean Emirati-built language model beats larger global systems and puts Arabic at the center of training.
Abu Dhabi’s Technology Innovation Institute has released an Arabic-first large language model that tops global test boards, an uncommon edge for a region long served by English-centric systems.
Falcon-H1 Arabic comes in 3B, 7B and 34B versions. The flagship posts 75.36% accuracy on comprehensive Arabic tasks and ranks first on the Open Arabic LLM Leaderboard. It also outperforms Meta’s Llama-70B and Alibaba’s Qwen-72B while using less than half their parameters. The smallest model beats Microsoft’s Phi-4 Mini by ten percentage points on equivalent benchmarks.
Arabic remains hard territory for AI. Flexible word order, dense morphology and constant switching between regional dialects and Modern Standard Arabic leave many global models missing context or tone. Academic research has pointed to a shortage of annotated datasets for dialect and informal speech. The impact shows up in classrooms, call centers and government portals where Arabic chatbots lag their English counterparts.
TII trained Falcon-H1 Arabic on formal writing, dialects and culturally grounded content. Beyond scores, it handles practical use: long conversations, reasoning rather than literal translation, and inputs of up to 192,000 words — enough for medical records or legal filings.
“The aim is innovation that is accessible, relevant, and impactful,” said Faisal Al Bannai, Adviser to the UAE President and Secretary-General of the Advanced Technology Research Council.
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Arabic is spoken by more than 450 million people across over 20 countries, yet has often been treated as a secondary language for foundation models. The UAE move signals a push to flip that logic and build Arabic-native stacks rather than wait for global systems to improve.
Falcon models have led their categories since 2023. With H1 Arabic, TII is offering free access via chat.falconllm.tii.ae for developers, media, healthcare and public-sector users looking to automate in natural Arabic.
As the region continues to invest in sovereign computing and data localization, the addition of Falcon-H1 Arabic adds a powerful tool built for the native language, instead of an afterthought attached to an English-trained system.
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