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Abu Dhabi To Use Drones For Transporting Medical Supplies

Abu Dhabi’s drone delivery system is planned to become operational in 2022.

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abu dhabi to use drones for transporting medical supplies
Matternet

It doesn’t take much for any road to turn into a long parking lot — a single car crash usually does the trick quite reliably. Being stuck in traffic sucks when traveling to or from work, but even a relatively minor traffic jam can have grave consequences when it involves the transportation of medical supplies.

But do you know where traffic jams are a very rare occurrence? In the sky. That’s why Abu Dhabi’s Department of Health is working with the UAE’s General Civil Aviation Authority and two drone companies to create a new drone delivery system capable of delivering medical supplies between 40 stations across Abu Dhabi.

One of the two drone companies helping make the project happen is the Abu Dhabi-based drone logistics company SkyGo, and the other company is Matternet, a California-based technology platform for urban aerial delivery.

SkyGo brings to the table its in-depth knowledge of the Abu Dhabi healthcare landscape and expertise in logistics and distribution in the Gulf region, while Matternet has extensive real-world experience with commercial Beyond Visual Line Of Sight (BVLOS) flying.

“We are seeing Matternet’s vision of building city-wide drone transportation infrastructure come to fruition in Abu Dhabi,” said Andreas Raptopoulos, Matternet’s CEO. “This will be a model for the rest of the world on how to successfully scale drone delivery for the benefit of healthcare and society overall”.

Also Read: UAE To Unleash Hordes Of Cloud-Triggering Drones

Abu Dhabi’s drone delivery system is planned to become operational in 2022. When it does, it will make Abu Dhabi the first city in the MENA region to use drones in healthcare logistics.

The United Arab Emirates has experimented with several different applications of drones in the past, using them to reduce response time to criminal and traffic reports or to spur rainfall in the desert.

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Nano Banana 2 Arrives In MENA For Google Gemini Users

Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.

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nano banana 2 arrives in mena for google gemini users
Google

Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.

The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.

Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.

The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.

Also Read: RØDE Adds Direct iPhone Pairing To Wireless GO And Pro Mics

Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.

By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.

The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.

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