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Qatar’s Biodiversity Database Platform Set For 2024 Launch
The project, in collaboration with UNEP, aims to preserve local species and gather valuable environmental data.
The Ministry of Environment and Climate Change (MoECC) has reached the final phase of a project to create Qatar’s biodiversity database platform.
The primary objective of this endeavor is to construct a sustainable biodiversity database and generate ecological maps of Qatar to pinpoint significant biodiversity sites across the nation. The project will establish a large electronic repository encompassing biodiversity-related and environmental data, cataloging all indigenous plant and animal species in the country in alignment with the Qatar Digital Government Strategy 2023-2025.
The scheduled launch for the database is set for later this year. Experts have already examined the project’s completed phases and unveiled the electronic platform’s initial design, which conforms to international standards.
With the project nearing completion, MoECC recently organized a series of meetings and coordination sessions over a three-day period, which dealt with the final stages of completing the project.
During a workshop held on January 30, a team from the World Conservation Monitoring Center delivered an in-depth presentation on the electronic platform, demonstrating the cutting-edge technology in its design. The software will facilitate seamless user operations and provide advanced capabilities alongside an initial assessment to identify research user requirements and review the database.
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On January 31, another training workshop was conducted, in which the project team oversaw advanced technological training for MoECC’s technical team. The trained group of users will manage the content of the project’s knowledge management platform in collaboration with the ministry’s communication teams after the official project launch later this year.
Launched in 2021, the Qatar biodiversity database project’s overarching goal is to compile a database for preserving the nation’s biodiversity. This resource will also support the creation of reports related to biodiversity, monitoring efforts, and decision-making processes.
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.
