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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.

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...

Recently, Ele.me officially launched its new AI assistant 'Xiaoe' nationwide. This intelligent system, based on large model technology, aims to provide comprehensive support and services for millions of Blue Riders (deliverers). With this AI assistant, deliverers can complete food delivery more efficiently, reduce their workload, and improve their work experience. The launch of 'Xiaoe' marks a major innovation in the food delivery industry. Riders can simply use voice activation to 'Xiaoe' to receive orders, confirm arrival at stores, and check promotions, greatly improving convenience.

Recently, an intelligent academic research tool called ScholAI has attracted widespread attention. This innovative tool, based on the Multi-Cloud Platform (MCP), integrates functions such as paper search, analysis, management, CCF ranking query, and semantic query analysis, providing researchers with an efficient and intelligent academic research solution. The AIbase editorial team has compiled the latest information from the web to provide you with a comprehensive overview of ScholAI's unique advantages and future potential. Core Features of ScholAI: One

Recently, a media outlet revealed that the user growth team at ByteDance developed an AI product called 'Tante Fan'. This product uses the large model

This comprehensive review of the Solar AI development tool examines how it generates complete applications via natural language input, reducing 83% of development time. Explore Solar's core features, use cases, and comparisons with mainstream tools to determine if it can truly deliver on its 'light-speed development' promise.

A detailed introduction to the functional features, use cases, and efficiency enhancement effects of the macOS voice-to-email AI tool, Speechly. Learn how it quickly generates professional email structures through voice input and where its advantages over traditional email writing lie.

In the rapid development of technology, the application of artificial intelligence (AI) is becoming more and more widespread. Many people are beginning to look forward to the rise of the "agent" technology. An agent refers to an intelligent program that can work autonomously and accomplish specific goals. Recently, discussions about AI agents have been flourishing, but existing technologies still have a long way to go before achieving true intelligent agents. Imagine if we could have an AI agent capable of automatically writing academic papers. It could delve into learning how to write papers, analyze data, and conduct literature reviews after receiving datasets and research fields...

Microsoft announced the release of 700 real AI agents and Copilot cases. These cases come from different fields, showcasing how artificial intelligence is deeply transforming work models. As a global leader in the AI field, Microsoft is committed to helping businesses and individuals better understand and apply AI technology. The released cases cover multiple industries such as finance, healthcare, technology, education, and automobile manufacturing, reflecting the extensive application of AI across various fields. In these cases, the intelligent agents built by Accenture for clients successfully achieved

Recently, researchers at the University of Tokyo found that the application of artificial intelligence (AI) tools in taxi drivers, especially for those with lower skills, helps improve their work efficiency. This study revealed a surprising trend: AI can not only help high-skilled workers but, in some cases, can significantly enhance the performance of low-skilled workers and narrow the skill gap. Image source notes: The image was generated by AI, and the image authorization service provider is Midjourney. The research team focused on taxi drivers in Yokohama City, Japan, analyzing...

At the 2025 WWDC conference, Apple announced the opening of its artificial intelligence technology to the developer community, releasing the Foundation Models framework and upgraded Xcode26, marking a major breakthrough for Apple in the field of AI development tools. Foundation Models Framework: Privacy-Focused AI Integration Solution The new Apple Foundation Models framework provides developers with a centralized set of tools to directly embed Apple's self-developed AI models into applications.

Building on the GPT-4o released last year, OpenAI has made significant updates to its advanced voice mode, making voice communication more natural and aligned with human conversation styles. This advanced feature is based on the native multimodal model, which can quickly respond to audio inputs, with the fastest response time at 232 milliseconds and an average response time of 320 milliseconds, nearly matching the speed of human conversations. At the beginning of this year, OpenAI had already made minor updates to this voice mode, improving interruption frequency and accent handling.