News
UAE Deploys First Fleet Of Driverless Electric Cargo Trucks
The rollout of driverless commercial vehicles in Ras Al Khaimah, spearheaded by Evocargo and RAK Ceramics, marks a first for UAE logistics.
The UAE has put its first commercial fleet of driverless electric cargo trucks on the road, marking a step change for the country’s logistics sector. The rollout, led by Evocargo with RAK Ceramics, is taking place in the Al Jazeera Al Hamra industrial zone in Ras Al Khaimah, a hub for large-scale manufacturing and transport projects.
Evocargo’s unmanned N1 trucks are now moving ceramics and sanitary ware between RAK Ceramics sites. Each vehicle can travel up to 200 kilometers per charge and recognizes road signs, crossings, and obstacles in real time. It’s the first time autonomous trucks have been used commercially in the UAE, a move that places the country among a small group of markets deploying driverless freight at scale.

The N1 runs on Evocargo’s fifth-generation autopilot and an AI-based multi-sensor system using LIDAR, sonar, and cameras to interpret surroundings and react instantly to changing road conditions. A four-layer safety framework underpins the system, designed to ensure both reliability and data accuracy. The trucks operate around the clock, pausing only to charge while loading or unloading.
“This launch proves autonomous, zero-emission transport is no longer a concept, but a viable solution for daily commercial operations,” said Shaheem Musthafa, CEO of Evocargo Autonomous Logistic Services in the UAE. “Our Robots-as-a-Service model makes this innovation accessible and scalable, offering businesses subscription-based access to autonomous vehicles without upfront costs”.
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RAK Ceramics said the shift supports both operational efficiency and sustainability targets. “By adopting these advanced technologies, we are enhancing operational performance and efficiency, as well as contributing to a reduced carbon footprint,” the company noted.
The project reflects the UAE’s wider push toward smart mobility and decarbonization under Vision 2030. It also signals how the country’s industrial zones are becoming testbeds for automation and AI-driven logistics across the wider MENA region.
News
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.
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.
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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.
