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- Why didn't I know when I was learning line generation: There is an equivalence relationship between matrices and graphs?
- The matrix is difficult to understand, but it may be different if you look at it from another perspective. When learning mathematics, we are often frustrated by the difficulty and abstractness of the knowledge we learn; but sometimes, just by changing the perspective, we can find a simple and intuitive solution to the problem. For example, when we were learning the formula for the sum of squares (a+b)² when we were children, we may not understand why it is equal to a²+2ab+b². We only knew that it was written like this in the book and the teacher asked us to remember it like this; until one day we saw I saw this animated picture: It suddenly dawned on me that we can understand it from a geometric perspective! Now, this sense of enlightenment occurs again: a non-negative matrix can be equivalently converted into the corresponding directed graph! As shown in the figure below, the 3×3 matrix on the left can actually be
- AI 604 2024-08-19 16:52:48
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- The first large UI model in China is released! Motiff's large model creates the best assistant for designers and optimizes UI design workflow
- Artificial intelligence is developing faster than you might imagine. Since GPT-4 introduced multimodal technology into the public eye, multimodal large models have entered a stage of rapid development, gradually shifting from pure model research and development to exploration and application in vertical fields, and are deeply integrated with all walks of life. In the field of interface interaction, international technology giants such as Google and Apple have invested in the research and development of large multi-modal UI models, which is regarded as the only way forward for the mobile phone AI revolution. In this context, the first large-scale UI model in China was born. On August 17, at the IXDC2024 International Experience Design Conference, Motiff, a design tool in the AI era, launched its independently developed UI multi-modal model - Motiff Model. This is the world's first UI design tool
- AI 1000 2024-08-19 16:48:06
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- Nature sub-journal, Shanghai Institute of Technology, Fudan University, and China Meteorological Administration develop sub-seasonal AI large model 'Fuxi' to break through the 'predictability desert'
- 1. Editor | Author of ScienceAI | Fuxi Team The "Outline for High-quality Meteorological Development (2022-2035)" issued by the State Council clearly states that it is necessary to "forecast major weather processes one month in advance," and this is inseparable from sub-seasonal climate of more than 15 days. Forecasting technology. Subseasonal climate prediction focuses on climate anomalies in the next 15 to 60 days, which can provide important support for production arrangements in agriculture, water conservancy, energy and other fields. Compared with short- and medium-term weather forecasts with a validity period of less than two weeks, sub-seasonal climate forecasts have greater uncertainty. It not only needs to consider the initial value problem, but also consider the impact of boundary forcing. The prediction sources are more complex and the prediction skills are less. Therefore, subseasonal climate prediction has been called a “predictability desert” and even
- AI 522 2024-08-19 16:39:02
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- Game Changer for robot strategy learning? Berkeley proposes Body Transformer
- In the past few years, the Transformer architecture has achieved great success, and it has also spawned a large number of variants, such as VisionTransformer (ViT), which is good at handling visual tasks. The BodyTransformer (BoT) introduced in this article is a Transformer variant that is very suitable for robot strategy learning. We know that when a physical agent performs correction and stabilization of actions, it often gives a spatial response based on the location of the external stimulus it feels. For example, human response circuits to these stimuli are located at the level of spinal neural circuits, and they are specifically responsible for the response of a single actuator. Corrective local execution is the main factor for efficient movement, especially for robots.
- AI 1116 2024-08-19 16:35:03
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- One article to understand Mamba, the strongest competitor of Transformer
- Although Mamba is good, its development is still early. There are many deep learning architectures, but the most successful one in recent years is Transformer, which has established its dominance in multiple application fields. A key driver of such success is the attention mechanism, which allows Transformer-based models to focus on relevant parts of the input sequence to achieve better context understanding. However, the disadvantage of the attention mechanism is that the computational overhead is high, which increases quadratically with the input size, making it difficult to process very long texts. Fortunately, a new architecture with great potential was born some time ago: the structured state space sequence model (SSM). This architecture can efficiently capture complex dependencies in sequence data and thus becomes Transforme
- AI 391 2024-08-19 16:33:34
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- how to remove copilot preview windows 10
- This article covers methods for disabling or removing the Copilot Preview feature in Windows 10. It addresses removing the preview window, permanently disabling Copilot services, and exploring alternative screenshot and screen recording tools that pr
- AI 567 2024-08-19 14:51:17
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- how to change copilot language
- This article provides instructions on how to change the language used by Copilot. Copilot's language is tied to the language of the user's Google account, so changing the language of the Google account will change the language of Copilot.
- AI 605 2024-08-19 14:50:16
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- how to launch copilot in word
- This article provides instructions on how to launch Copilot in Microsoft Word, including how to check its availability, enable or disable it, and highlights its benefits, such as automating writing tasks, saving time, and enhancing writing quality wi
- AI 1191 2024-08-19 14:49:18
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- what can copilot do microsoft
- Microsoft Copilot, powered by AI, revolutionizes code assistance with natural language code generation. Its contextual understanding and cross-language support enhance productivity, while autosuggest features accelerate development. However, potentia
- AI 667 2024-08-19 14:48:18
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- how to bypass copilot filter
- This article discusses methods and potential consequences of bypassing copilot filtering restrictions. The main issue is the violation of service terms and exposure to malicious content due to circumvention of security measures designed to protect us
- AI 1403 2024-08-19 14:47:18
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- how to buy copilot microsoft
- This article provides comprehensive guidance on acquiring Copilot from Microsoft through various channels such as AppSource, VLSC, and CSP. It addresses the different purchasing options available, including subscriptions, per-user licenses, and add-o
- AI 372 2024-08-19 14:46:16
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- can copilot take notes
- Copilot, an AI-powered assistant, offers comprehensive meeting support through note-taking, transcription, and organization. It harnesses natural language processing and machine learning to capture key points, transcribe recordings, and annotate docu
- AI 586 2024-08-19 14:45:15
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- does copilot keep data
- This article discusses data storage and security measures implemented by Copilot, a coding assistant tool. It highlights that Copilot stores data both locally and in the cloud, with local data encrypted in a secure sandbox and cloud data encrypted an
- AI 1065 2024-08-19 14:44:17
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- To predict protein-DNA binding specificity, USC team develops new geometric deep learning method
- Editor | Radish Skin Predicting protein-DNA binding specificity is a challenging but crucial task for understanding gene regulation. Protein-DNA complexes typically bind to selected DNA targets, whereas proteins bind to a broad range of DNA sequences with varying degrees of binding specificity. This information is not directly accessible in a single structure. To access this information, researchers at the University of Southern California and the University of Washington proposed the Deep Binding Specificity Predictor (DeepPBS), a geometric deep learning model designed to predict binding based on protein-DNA structures.
- AI 1284 2024-08-19 13:34:10
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- copilot uses which model
- Copilot deploys a large language model (LLM) to enhance its capabilities for code generation, completion, understanding, and support across multiple programming languages. This LLM offers accuracy, adaptability, flexibility, and continuous improvemen
- AI 605 2024-08-19 11:04:17
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