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- The live scene is shocking! The OmAgent framework is now open source! Industry applications have fully blossomed
- The first company to propose and develop autonomous driving was Google. Coincidentally, the Transformer model it released also laid the foundation for the development of today's large models. Autonomous driving has completed a magnificent transformation from concept to reality, completely reshaping the traditional way of driving. What the large model industry is experiencing is just like the legendary journey of the development of autonomous driving technology - the top R&D teams are competing to join in it and continue to accelerate the development of autonomous driving. Running technology and product innovation, as well as user experience that continues to be pushed to the extreme. In the large model circuit, there is one company that has always been at the forefront, pushing the boundaries of the industry forward. Why Lianhui Technology? When the industry first started to pay attention to large models, they had already anchored multi-modal large models and achieved high scores in the industry and information technology industry.
- AI 573 2024-07-12 18:06:38
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- CVPR best paper candidate | New breakthrough in NeRF, using heuristic-guided segmentation to remove transient interference without additional prior knowledge
- 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 the paper is Chen Jiahao, a second-year master's student in the School of Computer Science at Sun Yat-sen University. His research direction is neural rendering and three-dimensional reconstruction. His supervisor is Professor Li Guanbin. The paper was his first work. The corresponding author of the paper is the School of Computer Science and Human-Machine-Object Intelligent Integration Laboratory of Sun Yat-sen University
- AI 885 2024-07-12 17:41:34
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- Done! Here comes another artificially retarded person who replies indiscriminately and breaks the defense of Weibo V.
- Machine Power Report Editor: Yang Wen’s talkative AI assistant doesn’t understand the world at all. Everyone else is crazily posting big models, AI videos, and AI photos, but Sina Weibo is the only one who is blindfolded and crazy about commenting on a small robot. Following the cyber gai "Comment on Robert", Weibo has launched another AI assistant. Weibo's official design for it is as follows: the AI assistant can learn the blogger's language style based on the historical content posted by the blogger, and reply to fans' comments in the blogger's tone, or chat with fans. Ideal is full, the reality is very skinny. This little AI assistant doesn't play according to the routine, and its little mouth is like a poison, destroying every human being who gasps. -1-The donkey’s lips are wrong and the horse’s mouth is blind. Recently, Weibo is testing a product with low traffic.
- AI 1045 2024-07-12 17:20:26
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- A single card A100 can achieve millions of token inferences, which is 10 times faster. This is Microsoft's official large model inference acceleration.
- This Microsoft research allows developers to process more than 1M of input text on a single-card machine at 10 times the speed. Large language models (LLM) have entered the era of long context processing, and the context window they support has soared from the previous 128K to the 10Mtoken level. However, due to the quadratic complexity of the attention mechanism, it can take several minutes for the model to process the input cues (i.e., the pre-population stage) and start generating the first token. As a result, the first token generation time is too long, which seriously affects the user experience, which also greatly limits the widespread application of long context LLM. For example (as shown in Figure 2a), when serving LLaMA-3-8B on a single machine equipped with A100, if it prompts that there are 300,000
- AI 744 2024-07-12 17:14:05
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- DAMO Academy releases one-stop AI video creation platform 'Xunguang' to create a new AI workflow
- This year is the first year of the explosion of AI video generation, and algorithm models and product applications represented by Sora are constantly emerging. In just a few months, we have witnessed the emergence of dozens of video generation tools, and AI-based video creation methods have begun to become popular. However, new technologies have also caused more challenges and doubts. In addition to the well-known "blind box opening" phenomenon, video content generated by AI has also been frequently criticized for its poor controllability and cumbersome processing workflow. OpenAI once invited a professional video production team to test Sora. Among them, the ShyKids team from Toronto used Sora to produce a short film with a balloon man theme. It perfectly combined creativity and AI technology, which was impressive. The entire short film is actually not
- AI 870 2024-07-12 16:24:20
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- ICLR 2024 Spotlight | No need to worry about intermediate steps, MUSTARD can generate high-quality mathematical inference data
- 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. In recent years, large language models (LLM) have made great progress in tasks such as mathematical application problems and mathematical theorem proving. Mathematical reasoning requires a rigorous, formalized multi-step reasoning process and is therefore a key milestone in the advancement of LLMs' reasoning ability, but it still faces
- AI 1004 2024-07-12 16:07:14
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- HANDS@ECCV24 Hand Symposium and Challenge, we sincerely invite submissions and participation in the competition
- Introduction The 8th HANDS will be held at ECCV24 (afternoon, September 30, Milan), including workshops and challenges. HANDS will provide a platform for related hand researchers and practitioners to share their work and discuss potential collaborations. The past seven editions of HANDS have also achieved great success. This document is a translation, please refer to the official website for information. HANDS@ECCV24 homepage: https://hands-workshop.org/ Hand seminar and submission: The seminar focuses on hand-related directions, and experts in hand-related fields will be invited to give cutting-edge reports. In particular, we sincerely invite submissions of relevant long articles. Hand Challenge: The challenge is based on the latest hand big data sets AssemblyHands and ARC
- AI 966 2024-07-12 14:12:10
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- DALL-E 3 Now Has Integrated Editing Tools, But They Need Work
- Ever wanted to edit your DALL-E 3 creation immediately but did not know how to make the changes? OpenAI hears you and has added inline editing tools to DALL-E 3 in ChatGPT, allowing you to make tweaks to your creations without leaving the app. The
- AI 701 2024-07-12 14:10:52
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- The open source 3D medical large model SAT supports 497 organoids and has performance exceeding 72 nnU-Nets. It was released by the Shanghai Jiao Tong University team.
- Author | Shanghai Jiao Tong University, Shanghai Artificial Intelligence Laboratory Editor | ScienceAI Recently, the joint team of Shanghai Jiao Tong University and Shanghai Artificial Intelligence Laboratory released a large 3D medical image segmentation model SAT (SegmentAnything in radiology scans, driven by Textprompts), which can be used in 3D medical images (CT, MR, PET), based on text prompts, universal segmentation of 497 types of organs/lesions in the human body is achieved. All data, codes, and models are open source. Paper link: https://arxiv.org/abs/2312.17183 Code link: https://github.com/zhao
- AI 499 2024-07-12 10:52:01
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- Generate four-dimensional content in a few minutes and control motion effects: Peking University and Michigan propose DG4D
- 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 author of this article, Dr. Pan Liang, is currently a Research Scientist at the Shanghai Artificial Intelligence Laboratory. Previously, from 2020 to 2023, he served as a Research Fellow at the S-Lab of Nanyang Technological University in Singapore.
- AI 1060 2024-07-12 09:30:21
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- Terence Tao supports it! AI Mathematical Olympiad Progress Award Announced, with Prizes of More than US$1 Million
- How can a large model do math problems? You might as well let it participate in this level of competition. "The preliminary results of the AI Mathematical Olympiad (AIMO Progress Award) have been announced. According to the leaderboard data, it currently appears that the winning program correctly answered 29/50 questions in the private test, which is a higher than expected result "Just now, Tao Zhexuan announced the news on his personal blog. AIMO originated from XTXMarkets, a non-bank financial institution that specializes in machine learning quantitative trading. It mainly allows participants to use AI models to solve international mathematical problems. The goal of this progress award is to create algorithms and models that can solve complex mathematical problems written in LaTeX format. This helps to promote the mathematical reasoning capabilities of artificial intelligence models and promote the development of cutting-edge knowledge.
- AI 543 2024-07-12 08:22:13
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- Revealed: Step Star trillion MoE+ multi-modal large model matrix unveiled
- At the 2024 World Artificial Intelligence Conference, many people lined up in front of a booth just to let the big AI model "arrange" an errand for them in heaven. Process: Provide personal photos to generate fairyland image photos (referring to the style of "Havoc in Heaven") Interactive plot selection and conversation sessions evaluate MBTI personality types based on choices and answers. "Arrange" heavenly errands based on personality types. Experience method: on-site queuing online experience ( Scan the QR code below) The large model startup company Step Star announced its big move. The AI interactive experience "AI + Havoc in Heaven" in cooperation with Shanghai Film Studio is just an appetizer for Step Star to showcase the charm of large models. During WAIC, they grandly launched the following big move: Trillion parameter MoE large model: Step-2 official version
- AI 1094 2024-07-12 05:52:58
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- ACL 2024 | Leading academic audiovisual research, Shanghai Jiao Tong University, Tsinghua University, Cambridge University, and Shanghai AILAB jointly released the academic audiovisual data set M3AV
- 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 article are from Shanghai Jiao Tong University, Tsinghua University, Cambridge University and Shanghai Artificial Intelligence Laboratory. The first author, Chen Zhe, is a PhD student at Shanghai Jiao Tong University, studying under Professor Wang Yu from the School of Artificial Intelligence of Shanghai Jiao Tong University. The corresponding author is Professor Wang Yu (homepage: https:/
- AI 1049 2024-07-12 04:11:47
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- Da Hongliang's research group at Shanghai Jiao Tong University & Shanghai AI Laboratory team released FSFP, a small sample prediction method for protein function based on language model, which was published in the Nature sub-journal
- Editor | ScienceAI Recently, the research group of Professor Hong Liang from the Institute of Natural Sciences/School of Physics and Astronomy/Zhangjiang Advanced Research Institute/School of Pharmacy of Shanghai Jiao Tong University, and Tan Pan, a young researcher from the Shanghai Artificial Intelligence Laboratory, achieved important breakthroughs in protein mutation-property prediction. . This work adopts a new training strategy, which greatly improves the performance of traditional protein pre-trained large models in mutation-property prediction using very little wet experimental data. The research results are titled "Enhancing the efficiency of protein language models with minimal wet-labdata throughfew-shot learning" and were published in
- AI 843 2024-07-11 20:10:28
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- Zhijia Technology's paper DualBEV was selected into the top computer vision conference ECCV
- Recently, the paper "DualBEV: UnifyingDualVeiwTransformationwithProbabilisticCorrespondences" by the Zhijia Technology team was selected into the European International Conference on Computer Vision (ECCV, European Conference on Computer Vision). ECCV is one of the most influential and authoritative international conferences in the field of computer vision, and is closely related to the International Conference on Computer Vision (ICCV). It is as famous as the Conference on Computer Vision and Pattern Recognition (CVPR) and is known as one of the "three top conferences" in the field of computer vision. ECCV is held every two years, bringing together the world’s top
- AI 519 2024-07-11 18:12:18
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