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World’s Most Advanced Robot Joins Museum Of The Future
The robot, named Ameca, will help guide and interact with museum visitors.
An AI-powered humanoid robot named Ameca has just joined the team of human employees at the Museum of the Future in Dubai. The advanced robot won’t simply issue clunky voice greetings, but will use advanced AI systems to interact with museum visitors.
Engineering Arts are responsible for the eerily humanlike employee, and they claim it’s the most advanced of its type in the entire world. The robot, named Ameca, is able to make different facial expressions, as well as answer questions and greet guests at the Tomorrow Today exhibition in Dubai’s Museum of the Future.
“Human-like artificial intelligence needs a human-like artificial body. Smooth, lifelike motion and advanced facial expression capabilities mean Ameca can strike an instant rapport with anybody. Ameca is the perfect platform to develop interaction between us humans and any metaverse or digital realm,” posts Engineered Arts on its website.
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The Tomorrow Today exhibition is one of several experiences at the museum designed to explore how technology can shape and advance humanity’s future for the better. The exhibition focuses on solving environmental challenges, using more than 50 exhibits across five distinct themes of waste management, environment, food, security, agriculture, and city planning.
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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.
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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