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In the digital age, efficient note-taking tools have become an essential part of knowledge management. Recently, a cross-platform AI note-taking software called NoteGen has quickly gained popularity. It supports five major platforms: Windows, MacOS, Linux, iOS, and Android, and offers free multi-device data synchronization. With native Markdown formatting and strong integration with third-party large models, it redefines the note-taking experience. Full platform support and free synchronization seamlessly connect NoteGen, thanks to its powerful cross-platform compatibility.

A deep dive into the features and effects of Flux Context, an AI image enhancement tool, including core features like photo cartoonization, watermark removal, and old photo restoration, to analyze whether it can truly enhance the efficiency and quality of image processing.

A comprehensive review of the practical performance of the Flux Context AI image enhancement tool, including core functions such as photo restoration, watermark removal, and background cleaning. Analyze whether it is worth using for professional users and general users. Gain a deep understanding of the differences between this AI image editor and traditional software, as well as its actual application scenarios.

This article provides a comprehensive review of the innovation acceleration features of Patsnap's Eureka AI Agent, covering core capabilities such as creative generation, patent search, and cross-domain analysis, revealing how AI is transforming enterprise R&D processes.

Recently, Sam Altman, CEO of OpenAI, published a new blog post, predicting that AI technology has crossed a critical threshold and will witness major breakthroughs in the coming years. From AI systems that discover novel insights in 2026 to robots capable of executing tasks in the real world by 2027, up to the great abundance of intelligence and energy in the 2030s, Altman's vision has sparked global discussions. The AIbase editorial team has compiled the latest information to provide you with an in-depth analysis of this blueprint for the future of AI and its impact on the world.

Recently, the AI Knowledge Sharing Platform 'Study What Today' (metaso.cn/study) under Metaso AI Search has launched a PPT export function under user feedback, meeting the needs of many users for sorting and sharing learning materials.

Recently, China National Knowledge Infrastructure (CNKI) has fully embraced artificial intelligence technology and launched a new exploration achievement - CNKI AI. This move aims to empower knowledge services and advance scenario practices for question-and-answer enhanced retrieval and generative knowledge services. The CNKI AI platform relies on AI technology, integrating professional knowledge and deep thinking to provide reliable enhanced and controllable generative intelligent services. It comprehensively integrates an AI academic research assistant with AI-enhanced retrieval, making understanding more precise and comprehensive, answers more professional and in-depth, and is committed to building an intelligent research, scientific innovation framework in the era of artificial intelligence.

In Chengdu's sunny April, a significant breakthrough in China's AI technology development was quietly unveiled. The 2025 Tencent Global Digital Ecosystem Summit Chengdu Conference grandly opened on April 18th, with Wang Wei, Tencent Cloud Intelligent Regional Solution Director, delivering exciting news: Tencent Cloud's large model knowledge engine has become the industry's first platform to officially integrate with MCP. This technological breakthrough means developers and enterprise users will enjoy an unprecedentedly convenient experience when building AI applications. Through Tencent Cloud's large model knowledge engine, users can easily access...

At the grand opening of the 2025 Tencent Global Digital Ecology Conference in Chengdu, Tencent announced its latest enterprise-grade AI application – the Tencent Cloud Large Model Knowledge Engine. This innovative tool aims to provide businesses with more flexible atomic capabilities and application development models, helping them build their own knowledge management systems. The Tencent Cloud Large Model Knowledge Engine has reportedly been successfully implemented in various sectors, including finance, energy, transportation, retail, healthcare, government, education, and tourism. Numerous companies, such as Sichuan Wen...

At the recently concluded 2025 Tencent Global Digital Ecosystem Summit Chengdu Forum, Tencent Cloud Vice President Wang Qi delivered a compelling speech on how enterprises can effectively implement Artificial Intelligence (AI) applications. He highlighted that combining large models with knowledge bases is currently the optimal path for enterprises to achieve AI implementation. Wang Qi emphasized that Tencent Cloud adheres to a "core technology self-research + embracing advanced open source" multi-model strategy, a philosophy that permeates Tencent's comprehensive layout across underlying computing power, foundational large models, model development platforms, and intelligent applications. Image source note:

In today's increasingly prevalent AI landscape, LinkedIn's Chief Operating Officer, Dan Shapero, actively integrates these new tools into his daily work. He highlights AI's significant potential for boosting productivity, particularly in areas such as meeting preparation, rapid knowledge acquisition, and information summarization. However, he emphasizes that AI cannot replace human judgment in recruitment and decision-making processes. Shapero encourages business leaders to proactively embrace AI technology to meet future challenges.