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Dubai Launches AI System To Reduce Traffic Congestion
The platform will also predict when roads and bridges need to be maintained and can be used for crowd management, administration, and smart services.
Dubai’s Roads and Transport Authority (RTA) has announced the launch of an AI and data science-based platform that will improve various aspects of the country’s transportation network, from road maintenance to public transit planning.
#RTA has launched a comprehensive Enterprise Platform for designing and developing AI and data science solutions at world-class standards in collaboration with top global firms.https://t.co/6pqh6VIL3f pic.twitter.com/wzPghBe5Wy
— RTA (@rta_dubai) May 21, 2023
The new platform, developed in tandem with top global firms, will use machine learning to examine traffic data, spot trends, and make predictions to aid in the design of more effective road networks and alleviate traffic congestion.
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In addition to reducing traffic congestion, the AI platform will also enable preventative maintenance for roads and bridges, plus crowd management and over 100 further use cases as part of RTA’s AI project roadmap. The system will also allow the Roads and Transport Authority to integrate AI into websites and digital apps.
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.
Nano Banana 2 Arrives In MENA For Google Gemini Users
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