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Ant Group officially launched the AI health application "AQ" on June 26, offering more than 100 AI functions such as health education, medical consultation, and report interpretation. It connects over 5,000 hospitals, nearly one million doctors, and nearly 200 AI avatars of famous doctors nationwide. The application is now available on major app stores. Han Xinyi, CEO of Ant Group, stated: Ant hopes that through AQ, everyone will have a trusted health assistant, becoming a helpful assistant for universal health and an accessible medical aid. Intelligent questioning and multimodal recognition address medical challenges. Facing nearly 75% of Chinese

Anthropic, an American startup focused on generative artificial intelligence, recently announced the launch of a new feature called "Artifacts," which allows users to create personalized applications. Users can create by means of simple conversations without any programming knowledge. This feature's release marks an important step for Anthropic in the field of artificial intelligence application development. The Artifacts feature was initially launched last June and became available to all users in August. Users can access it next to the conversation window.

Recently, Tencent Cloud officially launched the first full-chain AI-powered application development platform in China – AI Builder. This platform significantly reduces the threshold for application development through natural language processing technology, allowing ordinary users without technical backgrounds to independently create mini-programs or web applications, providing strong support for the realization of creativity. In traditional application development processes, users often need to master programming languages, understand database design, configure servers, and other complex skills, which is undoubtedly an insurmountable obstacle for non-professional developers.

Recently, Midjourney announced that they are developing a video upscaler as well as a Niji video model specifically designed for anime-style videos, sparking heated discussions among global creators and AI technology enthusiasts. The AIbase editorial team has compiled the latest developments and provides an in-depth analysis of the potential and future impact of these two cutting-edge technologies. Midjourney Video Upscaler: Enhancing Quality, Amplifying Creativity Midjourney's video upscaler aims to use advanced AI algorithms to提升 low-resolution videos to higher clarity.

On June 18th, the artificial intelligence research institute OpenAI officially open-sourced its customer service agent framework, marking an important step in the company's layout of enterprise-level AI solutions. This framework aims to promote the practical commercial application of intelligent agent systems from laboratory environments to real-world scenarios by providing transparent toolchains and clear implementation examples.

The plan's advancement has triggered dissatisfaction among developers. According to VentureBeat, OpenAI's current API deprecation involves the GPT-4.5 Preview version, which is an intermediary model launched between GPT-4 and GPT-5. Multiple developers have stated that this sudden change has disrupted their development plans, forcing significant adjustments to applications already built based on this API. A developer who wished to remain anonymous commented: We understand the necessity of technological iteration, but the lack of sufficient buffer time in the schedule has brought additional pressure to development teams.

In-depth analysis of this revolutionary AI hardware design tool, Enzzo PM, unveiling how its two core modules, TORQUE and AMPLIFY, shorten tasks like generating product requirement documents and competitor analysis from weeks to mere hours. The article also features practical test cases and business value assessments. It is especially suitable for hardware development teams, start-ups, and manufacturers.

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.

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...

According to the latest prediction from Gartner, by 2028, 80% of generative AI business applications will be developed on existing data management platforms. This shift is expected to reduce development complexity and cut delivery time in half. Currently, the development of generative AI business applications mainly relies on combining large language models (LLMs) with corporate internal data, as well as evolving technologies such as vector search, metadata management, prompt design, and embedding techniques. However, without a unified management approach, companies may...

The independent AI application Meta AI launched by Meta has drawn extensive attention from users. However, this application has also revealed serious privacy issues. Many users unintentionally publicly share private conversations with chat bots, causing their sensitive information to be exposed in public view. The Meta AI application allows users to post conversation content to social platforms via a sharing button after interacting with the AI. But surprisingly, many users are unaware of this, and the content they post

Under ByteDance's Volcano Engine, its AI IDE product TRAE has undergone significant upgrades. The upgraded TRAE provides developers with more practical features, including code completion, local code generation, as well as support for complex tasks such as code refactoring, bulk modifications, and knowledge questioning. ByteDance stated that the next version of TRAE will integrate different Agents and tools to coordinate task flows, realizing automatic chain operations, which marks its gradual shift from AI-assisted coding to supporting the entire AI development process.