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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 966 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 581 2024-09-02 13:30:20
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- Why ChatGPT's Speech to Text Is the Best I've Ever Used
- You have to speak it to believe it; ChatGPT’s fantastic speech-to-text function, that is. It’s proved to be far smoother and more precise than some of the most established voice-to-text apps. ChatGPT Is Better Than Google’s Voice Typin
- AI 643 2024-08-30 10:04:39
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- Why I Use Quora\'s Poe AI Instead of ChatGPT
- If you want to get started with AI, the many choices can be confusing and overwhelming. So, instead of using ChatGPT, where I can only access a single AI chatbot, here's why Quora's Poe has become my go-to AI platform. Try Out Lots o
- AI 1304 2024-08-26 21:40:36
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- Generate 'Black Myth: Wukong ' 3D assets in one sentence, Hu Yuanming's entrepreneurial project Meshy is new, free trial
- The geometry is cleaner and more detailed, the workflow is more reasonable, Meshy's 3D generation capabilities have evolved, and everyone can try it for free. Destiny man, where have you been now? There is no doubt that "Black Myth: Wukong" has been the most popular in the past two days, whether in the circle of friends or on various online platforms. Even if you don’t play games at all, you may still pay attention to this super masterpiece that is known as “creating the history of Chinese games” because of the record-breaking sales or the “tap water” that swept the entire network. However, "Black Myth: Wukong" debuted for the first time because of a live demonstration video. This trailer, which has nearly 60 million views, announces that in the game industry dominated by Western culture, Chinese players will soon have the heroic protagonist they dream of rooted in Chinese culture. And in the trailer
- AI 968 2024-08-23 19:40:43
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- AI solves quantum physics problem for the first time, DeepMind accurately calculates quantum excited states, listed in Science
- Editor | KX Previously, the Fermion Neural Network (FermiNet) developed by Google DeepMind researchers was very suitable for modeling the quantum ground state of a large number of electrons. FermiNet initially focused on the ground state of molecules. But when molecules and materials are stimulated by large amounts of energy, such as when exposed to light or high temperatures, electrons can be kicked into a higher energy state - an excited state. Excited states are important in fields such as physics and chemistry; however, scalable, accurate, and robust calculations of excited state properties from first principles still face important theoretical challenges. Now, DeepMind researchers have developed a new method for calculating excited states that is more powerful and versatile than previous methods. This method can be applied to any
- AI 1336 2024-08-23 19:34:26
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- It is always said that embodied intelligence data is too expensive, Pengcheng Laboratory open sourced a million-scale standardized data set
- 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 come from the Institute of Multi-Agent and Embodied Intelligence of Pengcheng Laboratory and a team of teachers and students from Southern University of Science and Technology and Sun Yat-sen University, including Professor Lin Liang (research Director of the Institute, National Outstanding Youth, IEEE Fellow), Professor Zheng Feng, Professor Liang Xiaodan, Wang Zhiqiang (
- AI 1009 2024-08-23 16:01:02
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- China's first self-developed MoE multi-modal large model reveals Tencent's mixed-element multi-modal understanding
- 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 Large-scale language models represented by GPT herald the dawn of general artificial intelligence in the digital cognitive space. These models demonstrate powerful understanding and reasoning capabilities by processing and generating natural language, and have shown broad application prospects in multiple fields. Whether in content
- AI 650 2024-08-22 22:38:25
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- Using AI to automatically design agents improves math scores by 25.9%, far exceeding manual design
- The performance of discovered agents based on ADAS significantly outperforms state-of-the-art hand-designed baselines. Basic models (FM) such as GPT and Claude are becoming a strong support for general-purpose agents and are increasingly used for a variety of reasoning and planning tasks. However, when solving problems, the agents required are usually composite agent systems with multiple components rather than monolithic model queries. Furthermore, in order for agents to solve complex real-world tasks, they often require access to external tools such as search engines, code execution, and database queries. Therefore, many effective building blocks for agent systems have been proposed, such as thought chain planning and reasoning, memory structures, tool usage, and self-reflection. Although these agents have achieved success in various applications
- AI 371 2024-08-22 22:37:32
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- At the World Robot Conference, this domestic robot carrying 'the hope of future elderly care' was surrounded
- At the World Robot Conference being held in Beijing, the display of humanoid robots has become the absolute focus of the scene. At the Stardust Intelligent booth, the AI robot assistant S1 performed three major performances of dulcimer, martial arts, and calligraphy in one exhibition area, capable of both literary and martial arts. , attracted a large number of professional audiences and media. The elegant playing on the elastic strings allows the S1 to demonstrate fine operation and absolute control with speed, strength and precision. CCTV News conducted a special report on the imitation learning and intelligent control behind "Calligraphy". Company founder Lai Jie explained that behind the silky movements, the hardware side pursues the best force control and the most human-like body indicators (speed, load) etc.), but on the AI side, the real movement data of people is collected, allowing the robot to become stronger when it encounters a strong situation and learn to evolve quickly. And agile
- AI 921 2024-08-22 22:35:03
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- Distributed Artificial Intelligence Conference DAI 2024 Call for Papers: Agent Day, Richard Sutton, the father of reinforcement learning, will attend! Yan Shuicheng, Sergey Levine and DeepMind scientists will give keynote speeches
- Conference Introduction With the rapid development of science and technology, artificial intelligence has become an important force in promoting social progress. In this era, we are fortunate to witness and participate in the innovation and application of Distributed Artificial Intelligence (DAI). Distributed artificial intelligence is an important branch of the field of artificial intelligence, which has attracted more and more attention in recent years. Agents based on large language models (LLM) have suddenly emerged. By combining the powerful language understanding and generation capabilities of large models, they have shown great potential in natural language interaction, knowledge reasoning, task planning, etc. AIAgent is taking over the big language model and has become a hot topic in the current AI circle. Au
- AI 1317 2024-08-22 20:02:33
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- New SOTA for protein function prediction, statistics-based AI methods from Shanghai Institute of Technology, Oxford and others, published in Nature sub-journal
- , Editor | KX proteins combine with other molecules to facilitate nearly all fundamental biological activities. Therefore, understanding protein function is critical to understanding health, disease, evolution, and organismal function at the molecular level. However, more than 200 million proteins remain uncharacterized, and computational methods rely heavily on structural information of proteins to predict annotations of varying quality. Recently, a research team from the University of Oxford, ETH Zurich, the University of Shanghai for Science and Technology, and Beijing Normal University designed a statistics-based graph network method called PhiGnet to facilitate the functional annotation of proteins and the identification of functional sites. . PhiGnet not only outperforms other methods in performance, but also shrinks sequences even in the absence of structural information
- AI 881 2024-08-22 16:45:02
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- Nature's point of view: The testing of artificial intelligence in medicine is in chaos. What should be done?
- Editor | ScienceAI Based on limited clinical data, hundreds of medical algorithms have been approved. Scientists are debating who should test the tools and how best to do so. Devin Singh witnessed a pediatric patient in the emergency room suffer cardiac arrest while waiting for treatment for a long time, which prompted him to explore the application of AI to shorten wait times. Using triage data from SickKids emergency rooms, Singh and colleagues built a series of AI models that provide potential diagnoses and recommend tests. One study showed that these models can speed up doctor visits by 22.3%, speeding up the processing of results by nearly 3 hours per patient requiring a medical test. However, the success of artificial intelligence algorithms in research only verifies this
- AI 650 2024-08-22 16:37:32
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- Ant Group's financial multi-agent framework is officially open source
- On May 25, at the 7th Digital China Construction Summit, Ant Group officially open sourced the multi-agent framework agentUniverse. This is the industry's first open source multi-agent technology framework in the financial field. The core of the framework provides multi-agent collaboration orchestration components. , allows developers to develop and customize multi-agent collaboration models, and can help developers speed up the research and development of large model technology in financial scenarios. (Caption: Lu Xin, general manager of the Intelligent Services Department of Ant Group’s Wealth Insurance Business Group, released the first open source multi-agent framework for financial scenarios) Agents can simplify the interaction between users and large models, allowing users to only specify goals to drive Big models get the job done. According to the "2024 AIGC Top Ten Trends in Application Layer" report released by IDC, intelligent agents will be the main
- AI 430 2024-08-22 16:01:42
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- AI in use | Trump's soul penetrates 'Black Myth', 3D 'Magic Transformation' Wukong... How many AI gameplays can a black monkey evoke?
- Editor of the Machine Power Report: Yang Wen The wave of artificial intelligence represented by large models and AIGC has been quietly changing the way we live and work, but most people still don’t know how to use it. Therefore, we have launched the "AI in Use" column to introduce in detail how to use AI through intuitive, interesting and concise artificial intelligence use cases and stimulate everyone's thinking. We also welcome readers to submit innovative, hands-on use cases. Submission email: content@jiqizhixin.com The screen has been swiped by a black monkey in the past two days. How ridiculously hot is this? Tiktok, Weibo, and official accounts are all chatting about the domestic game "Black Myth: Wukong" with just one swipe. Even the official media has started live broadcasts. There are also companies that directly take holidays so that employees can
- AI 1001 2024-08-21 22:50:32
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