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- how to write comfyui node
- ComfyUI, a JavaScript library for building responsive web applications, offers unique features, including component-based architecture for efficient app creation, reactivity for automatic data updates, and extensibility for customization. With its mo
- AI 645 2024-09-02 16:46:22
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- how to create comfyui node
- This article introduces ComfyUI for Node.js, a library for building cross-platform user interfaces. It highlights the key features of ComfyUI, including its comprehensive component set, declarative UI syntax, accessibility, and cross-platform support
- AI 679 2024-09-02 16:45:16
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- how to install comfyui manager on mac
- This article provides a guide on installing ComfyUI Manager on Mac computers. It outlines the system requirements, including macOS version, processor, RAM, and storage space required for the installation. The article also includes a step-by-step guid
- AI 674 2024-09-02 16:44:15
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- how to make comfyui node
- This article provides a guide on setting up comfyUI in a Node.js application, including steps for installation, initialization, adding UI components, and rendering. It also highlights the features offered by comfyUI for working with UI components, su
- AI 1087 2024-09-02 16:43:18
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- Is a ghost controlling your phone? Large model GUI agents are vulnerable to environment hijacking
- The AIxiv column is a column where this site publishes academic and technical content. In the past few years, the AIxiv column of this site has received more than 2,000 reports, covering top laboratories from major universities and companies around the world, effectively promoting academic exchanges and dissemination. If you have excellent work that you want to share, please feel free to contribute or contact us for reporting. Submission email: liyazhou@jiqizhixin.com; zhaoyunfeng@jiqizhixin.com The first author of this article, Ma Xinbei, is a fourth-year doctoral student in the Department of Computer Science at Shanghai Jiao Tong University. His research interests include autonomous agents, reasoning, and the interpretability and knowledge of large models. edit. The work was jointly completed by Shanghai Jiao Tong University and Meta. Thesis title: Cautio
- AI 302 2024-09-02 16:40:32
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- How difficult is it for a robot to master the strength of its hands and do housework safely? 1X Artificial Intelligence Vice President writes a detailed explanation
- How difficult is it to build a truly humanoid robot? Usually when a robot moves, its joints will make clicking sounds, but 1X, a startup seen by OpenAI, can do something different. The new humanoid robot NEO they unveiled last week can be quiet and practical. If we turn up the volume of the video, we can hear the slight hum of the motor as it bends down to pick up the backpack. After watching this video, I really want to ask, isn’t this really a human wearing a leather jacket? Today's industrial robots can move very fast, but they need to slow down to an extremely slow speed before they come into contact with something. To ensure safety, these robots often need to be kept in safety cages, but NEO can gently hug the girl in the video and hand her schoolbag naturally and smoothly.
- AI 845 2024-09-02 16:34:12
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- Integrating more than 200 related studies, the latest review of the large model 'lifelong learning' is here
- The AIxiv column is a column where this site publishes academic and technical content. In the past few years, the AIxiv column of this site has received more than 2,000 reports, covering top laboratories from major universities and companies around the world, effectively promoting academic exchanges and dissemination. If you have excellent work that you want to share, please feel free to contribute or contact us for reporting. Submission email: liyazhou@jiqizhixin.com; zhaoyunfeng@jiqizhixin.com The authors of this paper are all from the team of Professor Ma Qianli of South China University of Technology, and their laboratory is the Machine Learning and Data Mining Laboratory. The three co-first authors of the paper are doctoral student Zheng Junhao, master's student Qiu Shengjie, and master's student Shi Chengming. Their main research directions include large models and final models.
- AI 959 2024-09-02 15:24:40
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- Integrating more than 200 related studies, the latest review of the large model 'lifelong learning' is here
- The AIxiv column is a column where this site publishes academic and technical content. In the past few years, the AIxiv column of this site has received more than 2,000 reports, covering top laboratories from major universities and companies around the world, effectively promoting academic exchanges and dissemination. If you have excellent work that you want to share, please feel free to contribute or contact us for reporting. Submission email: liyazhou@jiqizhixin.com; zhaoyunfeng@jiqizhixin.com The authors of this paper are all from the team of Professor Ma Qianli of South China University of Technology, and their laboratory is the Machine Learning and Data Mining Laboratory. The three co-first authors of the paper are doctoral student Zheng Junhao, master's student Qiu Shengjie, and master's student Shi Chengming. Their main research directions include large models and final models.
- AI 257 2024-09-02 15:24:03
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- Efficiently and accurately predict DDI, the explanatory drug AI model of Fuzhou University and Yuanxing Intelligent Drug Team was published in Nature sub-journal
- Editor | Unexpected drug interactions (DDI) of radish peel are an important issue in drug research and clinical application, because they are very likely to cause serious adverse drug reactions or drug discontinuation. Although many deep learning models have achieved good results in DDI prediction, model interpretability to reveal the root causes of DDI has not been widely explored. Researchers from Fuzhou University, the First Affiliated Hospital of Fujian Medical University, and Yuanxing Intelligent Medicine proposed MeTDDI, a deep learning framework with local-global self-attention and joint attention for learning topic-based DDI prediction maps. Regarding interpretability, the researchers conducted an extensive evaluation of 73 drugs (13,786 DDIs), and MeTDDI could accurately explain 58
- AI 330 2024-09-02 15:13:00
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- Interpretation of KDD2024 Best Student Paper, University of Science and Technology of China, Huawei Noah: New Paradigm of Sequence Recommendation DR4SR
- The AIxiv column is a column where this site publishes academic and technical content. In the past few years, the AIxiv column of this site has received more than 2,000 reports, covering top laboratories from major universities and companies around the world, effectively promoting academic exchanges and dissemination. If you have excellent work that you want to share, please feel free to contribute or contact us for reporting. Submission email: liyazhou@jiqizhixin.com; zhaoyunfeng@jiqizhixin.com This work was completed by the IEEE Fellow Chen Enhong team of the National Key Laboratory of Cognitive Intelligence and Huawei's Noah's Ark Laboratory. Professor Chen Enhong’s team is deeply involved in the fields of data mining and machine learning, and has published many papers in top journals and conferences, and has been cited in Google Scholar papers.
- AI 659 2024-09-02 15:07:09
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- Kunlun Wanwei's 'Tiangong SkyAgents' Beta version is tested on the entire network
- On December 25, the beta version of Kunlun Wanwei's AIAgents development platform "Tiangong SkyAgents" was officially opened for testing. Users can experience it immediately at https://model-platform.tiangong.cn/. Kunlun Wanwei's "Tiangong SkyAgents" AIAgents development platform is built based on Kunlun Wanwei's "Tiangong Large Model" and has independent learning and independent thinking capabilities from perception to decision-making, from decision-making to execution. Users can build their own single or multiple "personal assistants" through natural language, and can modularize different tasks. Through operating system modules, implementation includes question presets, designated responses, knowledge base creation and retrieval, and intent recognition. , text extraction
- AI 333 2024-09-02 14:07:48
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- Claude has become lazy too! Netizen: Learn to give yourself a holiday
- The start of school is about to begin, and it’s not just the students who are about to start the new semester who should take care of themselves, but also the large AI models. Some time ago, Reddit was filled with netizens complaining that Claude was getting lazy. "Its level has dropped a lot, it often pauses, and even the output becomes very short. In the first week of release, it could translate a full 4-page document at once, but now it can't even output half a page!" https:// www.reddit.com/r/ClaudeAI/comments/1by8rw8/something_just_feels_wrong_with_claude_in_the/ in a post titled "Totally disappointed with Claude", full of
- AI 614 2024-09-02 13:56:32
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- New work from the author of Mamba: Distilling Llama3 into a hybrid linear RNN
- The key to Transformer's great success in the field of deep learning is the attention mechanism. The attention mechanism allows the Transformer-based model to focus on the parts related to the input sequence, achieving better context understanding. However, the disadvantage of the attention mechanism is that the computational overhead is high, which will increase quadratically with the input size, making it difficult for the Transformer to handle very long texts. Some time ago, the emergence of Mamba broke this situation, and it can achieve linear expansion as the context length increases. With the release of Mamba, these state space models (SSM) can match or even surpass Transformer at small and medium scales while maintaining order.
- AI 865 2024-09-02 13:41:30
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- With nanometer-level precision, virus infection can be detected within 1 hour. Southern Medical University's cell nucleus AI tool is published in Nature sub-journal
- Editor |KX A nanometer (nm) is one billionth of a meter, and the width of a human hair is about 100,000nm. Today, artificial intelligence can detect rearrangements within cells as small as 20 nm, or 5,000 times smaller than the width of a human hair. These changes are too small and subtle to be discovered by humans using traditional methods alone. Recently, a research team from Southern Medical University and the Barcelona Institute of Science and Technology in Spain developed a nuclear artificial intelligence (AINU) tool that can identify specific nuclear features at nanometer-level resolution. It can distinguish cancer cells from normal cells and detect early stages of intracellular viral infection. LimeiZ, co-author of the paper and researcher at Guangdong Provincial People's Hospital (GDPH) of Southern Medical University
- AI 409 2024-09-02 13:30:20
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