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Google launched a new experimental app called Doppl on Thursday in the US for iOS and Android platforms, aiming to let users see how different clothes look on them through artificial intelligence technology. The app uses AI to generate virtual images of users wearing clothes, even converting static images into dynamic videos, providing an immersive try-on experience. The core feature of Doppl allows users to upload full-body photos, then import photos or screenshots of clothing to try them on their digital version.

AIbase Report — Features and Application Scenarios Offerwall allows publishers to provide website readers with various ways to access content, including small payments, participating in surveys, watching ads, etc. Publishers can also add custom options, such as subscribing to newsletters. The tool is now available for free in Google Ad Manager and uses AI intelligence to decide when to display it to visitors, maximizing engagement and revenue. After more than a year of testing, 1,000 publishers have participated in the trial. Google has partnered with third parties

Recently, Google announced that the upcoming Gemini feature will replace Google Assistant on Android devices. According to an internal email obtained by Android Police, the Gemini update will start rolling out on July 7th. This update will allow users to still control phone calls, messages, WhatsApp, and other apps through this AI assistant even when the Gemini app is closed. This change aims to enhance user experience.

Recently, Google officially launched an AI fitting room app called Doppl, aimed at providing users with a new virtual try-on experience. With this app, users can simply upload a full-body photo and then choose their favorite clothes to try on. Whether these clothes come from thrift stores, friends' outfits, or images on social media, they can be easily achieved. The operation process of Doppl is very simple. Users first need to upload their full-body photos to the app. Then, they can upload photos or screenshots of other clothes to...

Welcome to the AIbase [AI Daily Report] section! Spend three minutes a day to learn about the latest AI events, helping you understand AI industry trends and innovative AI product applications. For more AI news, visit: https://www.aibase.com/zh1. Doubao AI Programming Launches Major Upgrade! No-code beginners can easily create their own web pages, with real-time editing that is very convenient! Doubao AI Programming has been upgraded to Application Creation 1.0, featuring visual editing, real-time preview, and multi-version management functions, lowering the barrier to web and application development for beginners.

Recently, Google officially launched its latest text-to-image model **Imagen4** through the Gemini API, marking an important milestone in the field of generative AI (AIGC). According to Google's official blog and community feedback, Imagen4 has achieved breakthroughs in generating text within images, solving a long-standing technical bottleneck in AIGC, and providing developers with a tool for creating high-quality visual content. It is reported that the model comes in two versions: **Imagen4** and **Imagen4Ultra**, with respective pricing details yet to be fully disclosed.

Recently, the artificial intelligence startup Scale AI has been involved in a serious data security scandal. This highly valued company, which was acquired by Meta for 49% of its shares for 14.8 billion dollars, was exposed for using public Google Docs to store confidential information from numerous clients including Meta, Google, and xAI. Google Docs is a convenient collaboration tool, but its sharing options of either inviting or completely public access clearly conflict with any company's strict security standards. It was reported that anyone who knew Sca

Recently, Google officially launched a new command-line tool - Gemini CLI. This tool is based on Google's self-developed Gemini2.5Pro AI model, aiming to provide developers with convenient AI Q&A and content generation services. With Gemini CLI, developers can directly call the power of AI in their own terminal interface, thereby improving programming efficiency and work convenience. One of the highlights of Gemini CLI is its support for up to 1 million tokens

Google has officially launched Gemini CLI today, an open-source terminal AI agent tool, directly challenging commercial AI coding tools. The project immediately received over 9,000 stars on GitHub, showing strong community interest. The free strategy disrupts the market: Zero cost usage: Simply use a personal Google account to obtain a Gemini Code Assist license. Top model: Free access to the Gemini 2.5 Pro model.

Recently, Google accidentally published a blog post about the Gemini CLI, but the page is now returning a 404 error. The unpublished article revealed several key features of the Gemini CLI, sparking discussions in the developer community. The content indicates that the Gemini CLI is an open-source command-line interface (CLI) tool for Gemini2.5Pro, supporting a context window of up to 1 million tokens, suitable for handling complex code and large-scale data.

Google DeepMind recently published a blog post, officially introducing the new Gemini Robotics On-Device localized robot AI model. The model uses a vision-language-action (VLA) architecture, enabling precise control of physical robots without cloud support. The biggest highlight of the new model is that it runs entirely locally on the robot device, achieving low-latency response capabilities. This feature makes it particularly suitable for environments with unstable network connections, such as critical application scenarios like medical facilities.