Search AI Products and News

Earth System Models are crucial tools for predicting environmental changes, helping us better prepare for the future. However, these models have extremely high computational demands, limiting their operation at fine enough resolutions. Currently, most models operate at a resolution of approximately 100 kilometers, equivalent to the size of Hawaii, making accurate predictions for specific regions difficult. Nevertheless, for practical applications such as agriculture, water resource planning, and disaster response, city-scale prediction accuracy around 10 kilometers is vital. Therefore, improving the resolution of these models is essential for better protection.

Recently, Wikipedia announced the suspension of a pilot experiment using artificial intelligence technology to generate article summaries after strong opposition from many editors. It was reported that this experiment was launched earlier this month and mainly targeted users who had installed the Wikipedia browser extension and chosen to participate. AI-generated summaries would appear at the top of each Wikipedia article with an "unverified" yellow label, which required clicking to expand and read. However, this new attempt immediately triggered fierce criticism from editors, who were concerned about the potential impact of this practice.

A major breakthrough in 3D modeling technology! The PartCrafter project co-developed by Peking University, ByteDance, and Carnegie Mellon University has officially been unveiled. It can generate high-precision, structured 3D models from a single RGB image, completely overturning the traditional complex process of segmentation followed by reconstruction. This technology not only improves generation efficiency but also infers the 3D geometry of unseen structures, showcasing immense potential for AI in the 3D generation field. The AIbase editorial team has compiled the latest information to provide you with an in-depth analysis of PartCrafter.

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...

Global renowned open-source AI platform Hugging Face recently released the open-weight model contributor ranking. Chinese teams Qwen and DeepSeek successfully ranked in the top 15, showcasing China's technical strength and influence in the global open-source AI field. This ranking honors the teams that provide high-quality model weights to the open-source community, with their models widely applied in academic and industrial innovation. The Qwen team supported by Alibaba Cloud Intelligence Group has gained favor from the community due to the excellent performance of its Qwen3 series models in tasks such as instruction following and code generation.

Recently, Krea AI officially announced the release of its first image generation model, Krea1, which sets a new standard for AI image generation with outstanding aesthetic control and image quality. The AIbase editorial team has compiled the latest information to bring you an in-depth interpretation of this technological revolution. Krea1: Breaking Through Traditional AI Image Generation Limitations. Krea1 is positioned by the official team as the ultimate solution to the 'problem' of AI appearance. Traditional AI image generation models often face problems such as overly soft textures, excessive contrast, and monotonous composition, which limit...

In recent years, the field of artificial intelligence has undergone tremendous changes, especially with large language models (LLMs) making remarkable progress in multi-modal tasks. These models have demonstrated strong potential in their ability to understand and generate language, but most current multi-modal models still adopt auto-regressive (AR) architectures, which limit inference processes to be rather monotonous and lacking flexibility. To address this limitation, a research team from The University of Hong Kong and Huawei Noah's Ark Lab has proposed a brand new model – FUDOKI, aiming to break these constraints. The core innovation of FUDOKI is

Against the global backdrop of accelerated development in generative artificial intelligence, Apple is facing a trust crisis. Despite its high-profile announcement a year ago to bring a series of AI features to the iPhone, particularly the smart upgrade for Siri, most of these "Apple Intelligence" promises have yet to be fulfilled. While competitors like Google, OpenAI, and Samsung are successively releasing AI phones and assistant functions, Apple's silence seems increasingly passive. Apple plans to hold its annual worldwide developers conference this Monday at Silicon Valley.

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.

In the recent Fiction.Live benchmark test, Gemini2.5Pro performed excellently in understanding and reproducing complex stories and backgrounds, leading ahead of OpenAI's o3 model. This test goes far beyond traditional "needle-in-a-haystack" tasks, focusing on a model's ability to handle deep semantics and context-dependent information within large contexts. According to the test data, when the context window length reaches 192,000 tokens (approximately 144,000 words), the performance of the o3 model drops sharply, while

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.

Recently, a singer suffering from vocal cord disorder due to neurological problems was able to transform damaged audio recordings into clear and powerful vocal performances using the Suno AI Cover tool, perfectly showcasing his creative vision. This case not only demonstrates the breakthrough application of AI in the music field but also provides new possibilities for individuals with physical disabilities to return to the art stage. AIbase analyzes this touching story and the mysteries behind the technology based on the latest online information. Image source note: Images generated by AI, image licensing provider Mid.

Recently, Xiaomi Technology Co., Ltd. transferred multiple 'Kimi' trademarks to Beijing Yuelong Anmai Technology Co., Ltd. This trademark was first applied for in 2013 and is currently mostly registered. As a company that has always been active in trademark protection, Xiaomi has sued through legal means multiple times due to trademark infringement issues. This transfer may be part of its strategic adjustment to focus on core businesses, aiming to optimize non-core trademark resources. Beijing Yuelong Anmai Technology Co., Ltd. was established in April 2023 with a registered capital of 1 million RMB, and the legal representative is