News
Garmin Reveals First Running Watches With AMOLED Displays
The range-topping Forerunner 965 will cost $600 when released in late March, while the 265 model launches today for $450.
Garmin has unveiled two new GPS smartwatches with AMOLED displays: the Forerunner 965 and 265 series. The timepieces are labeled as dedicated running watches and provide “advanced training metrics” for athletes, heart-rate variability (HRV), sleep quality, training load and more.
The high-end Forerunner 965 model comes with a 1.4-inch AMOLED display, a decent 31 hours of GPS-mode battery life and up to 23 days of use as a smartwatch. The flagship model of the series features additional performance stats over the cheaper 265, including training load ratio, stamina info and detailed climbing metrics (including gradient, distance and elevation).
The Forerunner 265 Series comes in two sizes (42mm and 46mm) and holds out for 24 hours in GPS mode or 15 days in smartwatch mode.
All of the watches in the series use Pulse Ox sensors, and offer “Body Battery” monitoring, sleep and stress stats, menstrual cycle and pregnancy tracking. As well as featuring adaptive training options and suggested workouts, the Garmin 965 and 265 both monitor v02 max and other important performance metrics.
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The Forerunner 965 will cost $600 when it hits stores in “late March”, while the cheaper Forerunner 265 is available now for $450.
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.
