Search AI Products and News

On June 19th, the Tongyi APP has comprehensively upgraded its translation capabilities, covering four core scenarios: text translation, simultaneous interpretation translation, document translation, and image translation, creating the strongest translation complex for individual and professional users. After the upgrade, the translation capabilities support 119 languages and dialects, achieving comprehensive improvements in accuracy, professionalism, and interaction experience. Whether it's cross-border office work, academic reading, or travel, the Tongyi APP can provide a truly all-scenario and all-modal translation solution. The Tongyi APP now supports 119 languages and dialects.

Recently, a new general intelligent agent called MiniMax Agent has been officially launched, aiming to provide efficient solutions for complex long-term tasks and has attracted widespread attention in the industry. MiniMax Agent: A breakthrough work of general intelligent agents - MiniMax Agent is an intelligent agent designed specifically to solve long-term complex tasks, featuring expert-level multi-step planning capabilities, flexible task decomposition mechanisms, and end-to-end execution efficiency. Its design concept is to make AI a reliable teammate.

A new study led by Apple researchers has poured cold water on the current large reasoning models (LRMs) that are highly anticipated. The research found that when solving complex tasks, reasoning models designed to simulate thinking processes, such as Claude3.7Thinking and Deepseek-R1, not only failed to show advantages but also exhibited serious problems like insufficient reasoning and performance collapse. This study tested four classic logical puzzles: the Tower of Hanoi, Checkers, River Crossing, and Block World. These puzzles allow precise control over the tasks.

DeepSeek recently made significant updates to its high-performance reasoning AI model, DeepSeek-R1, greatly enhancing the model's performance in code generation and complex reasoning tasks, drawing widespread attention in the artificial intelligence community. Below is a comprehensive analysis of the key highlights of this update based on public information and the latest developments. R1 Model Update: Significant Improvement in Code Ability The latest update to DeepSeek-R1 has achieved remarkable breakthroughs in code generation capabilities. Testing shows that the new version of R1 significantly improves its ability to handle complex coding tasks.

The AI-driven web development tool Youware recently received a major update, significantly enhancing web generation capabilities and efficiency through the deep integration of Model Context Protocol (MCP). Users can easily create complex webpages by simply providing prompts, reading design drafts from Figma, obtaining icons from Hugeicons, and combining FLUX to generate high-quality images. This update not only solves the challenges of material selection and upload in AI website building but also introduces a points system and community features.

Baidu has officially released Xinxiang, a mobile application featuring multi-agent collaboration. The Android version is already available, with the iOS version expected soon. Positioned as a general-purpose super AI agent, the app aims to intelligently address complex user needs in daily life.

On April 9th, 2025, a powerful SVG (Scalable Vector Graphics) generation model named OmniSVG was officially unveiled, marking a new stage in vector graphic generation technology. Jointly developed by StepFun and Fudan University, this model is hailed as the most advanced SVG generation model currently available. Its outstanding multi-modal generation capabilities and efficient performance have attracted widespread attention. OmniSVG's technological breakthrough is based on a pre-trained Vision-Language Model (VLM)...

Tencent Yuanbao has announced a new feature designed to simplify the understanding and analysis of Excel spreadsheets. This upgrade allows users to ask questions in natural language, and Yuanbao will directly extract data, perform calculations, and provide answers from the spreadsheet, even highlighting key information. This significantly streamlines complex spreadsheet operations.

Transforming complex documents into structured data has long been a challenging problem in computer science. Previous approaches involved cumbersome multi-model pipelines or massive, hallucination-prone, and expensive multimodal models. However, IBM and Hugging Face have recently introduced SmolDocling, a lightweight 256M parameter open-source Vision-Language Model (VLM)...

At the 2025 Global Developer Pioneer Conference, SenseTime announced the launch of its open-source low-code platform, LazyLLM, aimed at lowering the barrier to entry for AI application development. Developers can now build complex multi-agent large model applications with approximately 10 lines of code. LazyLLM not only helps users rapidly develop AI applications but also simplifies the development process through intuitive operations, making it as easy as building with blocks. The name "LazyLLM" reflects SenseTime's goal of enabling effortless AI application development.