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Dubai Survey Drones Explore Minerals In Central Asia
The UAVs reduce costs and boost efficiency by replacing helicopters and large teams of researchers and geophysicists.
Microavia, a UAE-based company established in Dubai in 2022, delivers drone-based solutions for security, monitoring, and surveying.
Now, the company is helping geologists and researchers explore mineral deposits in Central Asia and Kazakhstan. Microavia’s advanced aerial surveying platform, Fortis, provides detailed information about an area’s geological structure, reducing task times by half and drastically cutting costs.
“We have successfully concluded all preflight tests with Microavia Fortis. A special feature of their geodrone is their ability to stay in the air for up to 60 minutes. The drone can carry up to 12 kg of payload. [and has] shown high efficiency in conducting aeromagnetic surveys due to the stability of the flight direction even in strong winds and long flight time,” explained Kirill Bazhin, CEO of Geodevice Kazakhstan.
Microavia drones hover at low altitudes between 40 and 100 meters, scanning the ground in 400-meter-wide sections. Hundreds of miles of land can be surveyed in days instead of weeks or months, and mineral exploration missions can now be undertaken in previously inaccessible areas.
“Big thanks to Microavia for supplying us with their drones for Terra Exploration. The 45-minute flight time with the magnetometer is quite impressive! Moreover, their team provided us with a beneficial and enjoyable pilot course. I can’t wait to start using these drones in our work,” said Nikita Shaliuto, geophysicist of Terra Exploration.
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According to recent reports, aluminum, copper, gold, and lithium deposits fall short of anticipated demand. Central Asia, and especially Kazakhstan, has a vast unexplored reserve of minerals, and drone-based exploration can help speed up their extraction.
Microavia’s export of advanced UAVs is also bolstering efforts by the UAE to diversify its industrial sector from traditional oil, petroleum, and gas production.
News
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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