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Dubai Starts Driverless Taxi Operations With Apollo Go

Live-road robotaxi testing has begun ahead of a 2026 public launch, with Baidu setting up its first overseas control hub in Dubai.

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dubai starts driverless taxi operations with apollo go
Dubai Media Office

Dubai has put its first driverless taxis into official operation, moving the project from trials to live traffic mode as the city prepares a public launch in the first quarter of 2026.

The program is run by the Roads and Transport Authority with China’s Baidu Apollo Go, the robotaxi arm of Baidu. The fleet uses the RT6, the company’s sixth-generation autonomous vehicle, built for large-scale commercial service rather than limited pilots.

Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum marked the start with a ride to the World Governments Summit at Madinat Jumeirah, a public show of support for the emirate’s autonomous transport push.

According to the RTA, the cars are already operating on roads open to regular traffic. The system “ensures safe and seamless mobility within a real urban environment and on roads open to live traffic,” the authority explained.

Each vehicle carries more than 40 sensors, including LiDAR, radar and camera arrays, feeding an AI stack that handles perception and driving decisions in real time. The software is tied to high-definition maps and deep-learning models designed to cope with intersections, pedestrians and dense city traffic while staying compliant within local highway laws.

Apollo Go has plenty of experience in this sector: Its vehicles have logged more than 150 million kilometers of safe driving and completed over 10 million autonomous trips across several cities, which Dubai hopes to tap into as it shifts from testing to day-to-day service.

The partnership has moved quickly. Discussions at last year’s summit led to an MoU, then road trials, then formal operations in roughly ten months — which is unusually fast for regulated transport.

Also Read: The Petshop Launches UAE’s First Pet Care Super App

Apollo Go has also opened its first operations and control center outside China at Dubai Science Park. The 2,000-square-metre site houses fleet monitoring, simulation and training rooms, plus maintenance and inspection bays. It manages daily performance, software updates and safety checks.

The company plans to grow the Dubai fleet to more than 1,000 vehicles over the next few years.

For the RTA, the bet is straightforward: make autonomous taxis a normal part of public transport, not a demo. If the 2026 launch goes according to plan, Dubai would rank among the first cities outside China running robotaxis at a meaningful commercial scale, and a regional test ground for driverless mobility.

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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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