Alibaba Group and SAP Reach Significant Strategic Cooperation: Qwen Integrated into SAP Systems

AI Daily: Alibaba Cloud Qwen Code AI IDE Launched; Xiaomi Multi-Modal Large Model Xiaomi MiMo-VL Open-Sourced; Black Forest Lab Releases FLUX.1Kontext

AliCloud Qwen Code AI IDE Officially Launched, Bringing a New Coding Experience

Open Source of Xiaomi Multi-modal Large Model Xiaomi MiMo-VL

Recently, the MiMo-VL multi-modal model developed by Xiaomi Company has taken over the baton from MiMo-7B, showcasing powerful capabilities in multiple fields. The model significantly outperforms the same-size benchmark multi-modal model Qwen2.5-VL-7B in tasks such as general question answering and understanding inference for images, videos, and language, and its performance in GUI Grounding tasks is comparable to that of specialized models, preparing for the arrival of the Agent era.

AI Will Disrupt Entry-Level White-Collar Jobs, Half of Positions May Disappear in the Next Five Years

Qwen Releases OmniAudio, Which Can Generate Spatial Audio from 360-Degree Videos

Recently, the Speech Team of Qwen Laboratory has made a milestone achievement in the field of spatial audio generation and launched the OmniAudio technology. This technology can directly generate FOA (First-order Ambisonics) audio from 360-degree videos, bringing new possibilities to virtual reality and immersive entertainment. Spatial audio, as a technology that simulates real auditory environments, can enhance immersive experiences. However, existing technologies are mostly based on fixed perspective videos and underutilize the spatial information of 360-degree panoramic videos. Traditional video-to-audio generation

OpenAI Makes a Big Move! Image Generation API Upgrade: Real-Time Streaming Preview + Multi-Round Editing MCP Enables Boundless Creation!

OpenAI announced significant updates to its image generation API (Responses API), adding new features such as streaming transmission, multi-round editing, and integration with Model Context Protocol (MCP) tools and real-time web data search. These new features not only improve the efficiency of image generation but also provide developers with more flexible creation methods, marking a new stage for AI-driven visual content creation. AIbase has compiled the core highlights of this update and its far-reaching impact on the industry.

Qwen Lab and Peking University Release New Technology ZeroSearch, Lowering the Cost of LLM Retrieval Capability by 88%

Qwen Launches CoGenAV Multimodal Speech Representation Model with Synchronized Perception of Audio and Visual

Recently, Qwen released CoGenAV, innovating speech recognition technology with the concept of audio-visual synchronization. It effectively addresses the challenge of noise interference in speech recognition. Traditional speech recognition performs poorly in noisy environments, while CoGenAV takes a different approach by learning the temporal alignment relationships among audio-visual-text, building a more robust and generalizable speech representation framework, systematically improving tasks such as speech recognition (VSR/AVSR), speech reconstruction (AVSS/AVSE), and audio-visual synchronization (A').

OpenAI Connects with Third-Party Services; Tencent Coins Integrated into WeChat Reading; SAP and Alibaba Collaborate to Accelerate Cloud Transformation

May 28, 2025 – Another piece of good news in the field of artificial intelligence. Tech giants like OpenAI, Tencent, and SAP have all announced new initiatives to drive innovation and development in their respective businesses. These changes will not only impact user experience but also reshape the industry landscape, creating broader market opportunities. First, OpenAI is considering allowing users to log in to third-party services via ChatGPT accounts. The plan is currently in the evaluation stage as OpenAI investigates developers' interest and requirements.

Mistral Launches New Agents API: Empowering Developers to Build Intelligent AI Agents

Mistral recently launched its new Agents API, a framework designed for developers to simplify the creation of AI agents that can execute various tasks such as running Python code, generating images, and performing Retrieval-Augmented Generation (RAG). The launch of this API aims to provide a unified environment for large language models (LLMs) to interact with multiple tools and data sources in a structured and persistent manner.