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Mobile App Helps Turkish Women Fight Domestic Violence
The app has so far been downloaded over 20,000 times, and more than 30 women have used it to seek help.
It’s estimated that 1 in 4 women globally have experienced severe domestic violence in their lifetime. For a number of complex reasons, the prevalence of domestic violence is especially high in the Eastern Mediterranean region.
Now, the Turkish Ministry of Interior is trying to use modern technology to help women threatened with domestic violence find help before it’s too late. The government ministry office released an app called KADES (Turkish acronym for Emergency Support Hotline for Women), which makes it easy for women to discretely report potential threats to the police.
“This application seeks to ensure women reach our police forces and receive help when under any threat, with just one touch,” explained Interior Minister Süleyman Soylu. “In any dangerous situation, women can connect to the system at the touch of a button, which will automatically send details of their location to the police”.
According to government statistics, the app has so far been downloaded over 20,000 times, and more than 30 women have used it to seek help. On average, the police arrived in just 5 minutes. The number is so low because the app automatically determines where the distressed woman is located and makes the information available to the police.
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The Turkish Ministry of Interior would like to see initiatives like KADES help wipe out violence against women completely. “Our President [Recep Tayyip Erdoğan] says ‘abuse and violence on women is the biggest crime inflicted upon humanity’. We will continue our efforts until this shame is completely wiped out of our country,” said the minister.
However, government officials in Turkey are well aware that achieving such a lofty goal is extremely difficult and will require a multi-pronged approach, as well as a lot of time. In October 2021 alone, 18 women were killed across Turkey, and the number of less serious incidents is impossible to calculate because many of them go unreported.
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.
