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Samsung Sets July 9 For Unpacked Event, New Foldables Expected
The Korean tech giant has confirmed its next Galaxy Unpacked event will take place on July 9, with AI and foldable devices expected to be the focus.
Samsung’s next Galaxy Unpacked event is scheduled for July 9 in Brooklyn, New York, with a livestream available via Samsung.com and YouTube. The company is expected to unveil the latest models in its Galaxy Z series of foldable phones, alongside updates to its AI-powered features.
In recent promotional material, Samsung has signaled a strong emphasis on artificial intelligence. One release describes its evolving product line as “anticipatory smart companions,” reflecting the company’s broader investment in AI across its S-series, foldables, and even budget devices.
The Z Fold 6 and Z Flip 6 are likely to headline the event. While Samsung hasn’t named these models directly, several statements point to thinner, lighter versions of its existing foldables. One release describes the upcoming devices as “the thinnest, lightest and most advanced foldable yet,” suggesting a design shift aimed at improving portability and addressing bulk concerns when closed.
AI-powered photography is also expected to feature prominently. In a separate release, Samsung outlined plans to enhance camera functions using AI, particularly in combination with foldable displays. The company claims these updates will make image capture and editing more dynamic and responsive.
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Though no pricing details have been confirmed, the Z Fold series typically sits at the high end of Samsung’s portfolio. While the S25 Ultra is still expected to retain the company’s most advanced camera system, the new foldables may introduce AI tools tailored to their flexible form factors.
More detailed announcements — including hardware specifications and software features — are expected during the event. Tech Magazine will provide full coverage of the Unpacked keynote and product reveals on July 9.
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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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