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- New TextGrad framework: using GPT-4o as engine to automatically optimize end-to-end tasks
- 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 team of this article is from Stanford University, and the co-first author team is Mert Yuksekgonul, Federico Bianchi, Joseph Boen, Sheng Liu, Zhi Huang Mer
- AI 1285 2024-07-11 15:46:56
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- The full-size universal humanoid robot Qinglong debuts at WAIC, accelerating the entry into the era of embodied intelligence
- On the afternoon of July 4, under the guidance of the World Artificial Intelligence Conference Organizing Committee Office, hosted by the World Artificial Intelligence Conference Organizing Committee Office, and hosted by the National and Local Humanoid Robot Innovation Center and the China Institute of Electronics, this site, "Robotics Technology and Applications" The 2024 WAIC World Artificial Intelligence Conference Humanoid Robot and Embodied Intelligence Development Forum co-organized by the magazine will be held at the Shanghai World Expo Exhibition and Convention Center on the afternoon of July 4. This forum invited 12 domestic and foreign scholars, business representatives and developer representatives in the field of humanoid robots and embodied intelligence to give keynote reports, technology sharing and roundtable discussions, and released innovative results of humanoid robots. The forum attracted more than 200 professional audiences in the field of humanoid robots and embodied intelligence, and they were watched online through multiple live broadcast platforms.
- AI 1142 2024-07-11 14:03:36
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- Counting down the 12 pain points of RAG, NVIDIA senior architect teaches solutions
- Retrieval-augmented generation (RAG) is a technique that uses retrieval to boost language models. Specifically, before a language model generates an answer, it retrieves relevant information from an extensive document database and then uses this information to guide the generation process. This technology can greatly improve the accuracy and relevance of content, effectively alleviate the problem of hallucinations, increase the speed of knowledge update, and enhance the traceability of content generation. RAG is undoubtedly one of the most exciting areas of artificial intelligence research. For more details about RAG, please refer to the column article on this site "What are the new developments in RAG, which specializes in making up for the shortcomings of large models?" This review explains it clearly." But RAG is not perfect, and users often encounter some "pain points" when using it. Recently, NVIDIA’s advanced generative AI solution
- AI 742 2024-07-11 13:53:01
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- Nature sub-journal, with an accuracy rate of 96%, AI predicts protein-ligand interactions from sequences
- Editor | Radish Skin In drug development, it is crucial to determine the binding affinity and functional effect of small molecule ligands on proteins. Current computational methods can predict these protein-ligand interaction properties, but without high-resolution protein structures, accuracy is often lost and functional effects cannot be predicted. Researchers at Monash University and Griffith University have developed PSICHIC (PhySIcoCHhemICal Graph Neural Network), a framework that combines physicochemical constraints to decode interaction fingerprints directly from sequence data. . This enables PSICHIC to decode
- AI 809 2024-07-11 12:56:20
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- Peeling cucumbers and folding clothes on the spot, the once popular shaving robot has evolved again, Qiongche's embodied intelligent brain is here!
- On July 4, at the 2024 World Artificial Intelligence Conference, the embodied intelligence company Qiongche Intelligent Noematrix (Booth No.: H1-A715) announced the launch of Qiongche Embodied Brain NoematrixBrain to accelerate the implementation of large-scale embodied intelligence models. Combined with the physical robot, Qiongche demonstrated to the audience at close range in a completely open environment "folding clothes that can be folded with just a throw" (infinite freedom of object manipulation, understanding of complex objects comparable to humans) and "can be folded after cutting" Breakthrough technologies such as "eating cucumber peeling" (irregular curved surface operation, precision even beyond human level), as well as practical applications such as home floor cleaning. Through these real-time demonstrations and real-life interactions, the world of embodied brain
- AI 494 2024-07-11 12:42:40
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- New progress in Alipay AI: Released a large multi-modal medical model and launched an AI medical co-construction plan with 20 institutions
- On July 5, at the "Trusted Large Model Forum" of the 2024 World Artificial Intelligence Conference, Alipay announced the latest progress in the layout of its AI technology in the medical field: it released a multi-modal medical large model, and at the same time, launched new models including medical trusted models. A variety of digital intelligent solutions such as all-in-one machines and trusted clouds. At the event, Alipay also jointly launched an AI medical co-construction plan with 20 institutions including People's Medical Publishing House, Peking University Health Science Center, and Zhejiang Provincial Health Commission to jointly explore AI digital intelligence technology base and innovative application services. Alipay's multi-modal medical model is unveiled. After more than half a year of testing and polishing, the Alipay medical model is officially unveiled. This is also one of the first multi-modal medical models in China. Gu Jinjie, general manager of the large model application department of Ant Group, introduced the process behind
- AI 577 2024-07-11 12:21:59
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- Nature sub-journal, better than AlphaFold, all-atom sampling, an AI method for predicting peptide structure
- Editor | Radish skin deep learning method has promoted significant progress in single-state prediction of biomolecular structures. However, the functionality of biomolecules depends on the range of conformations they can assume. This is especially true for peptides, a class of highly flexible molecules that participate in a variety of biological processes and are of great interest as therapeutics. Philip M. Kim and Osama Abdin at the University of Toronto developed PepFlow, a transferable generative model that enables direct all-atom sampling from the allowed conformational space of an input peptide. The researchers trained the model in a diffusion framework and then used equivalent flow for conformational sampling. To overcome the prohibitive cost of generalized all-atom modeling, they modularized the generation process and integrated supernetworks to predict sequence-specific network parameters.
- AI 972 2024-07-11 11:49:39
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- The 'Zi Yue' educational model reappears at the World Artificial Intelligence Conference. NetEase Youdao makes a collective appearance with more than ten AI education black technologies
- On July 4, the 2024 World Artificial Intelligence Conference kicked off in Shanghai. NetEase Youdao, an educational technology company, made a stunning appearance. The new AI large-model learning hardware "Youdao Dictionary Pen X7" made its grand debut at the conference, marking the beginning of a new era of general tutoring with Dictionary Pen. At the Youdao booth, in addition to the debut Youdao Dictionary Pen X7, a series of eye-catching innovations were on display. Hearing treasure E6Pro, which is both a listening artifact and a speaking coach, the world's first virtual spoken speaking private tutor HiEcho, the first highly integrated intelligent sports terminal with a fun dynamic screen, and other ten products based on the first domestic large-scale education model "Zi Yue" The latest application of Yuzhuan has made a stunning debut, demonstrating NetEase Youdao’s depth in the integration and innovation of education technology.
- AI 1323 2024-07-11 10:51:34
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- Huawei Cloud Director Libin: Doing difficult things and solving difficult problems, the Pangu model reshapes thousands of industries with 'wisdom'
- On July 5, the 2024 World Artificial Intelligence Conference and the High-level Conference on Artificial Intelligence Global Governance - "Pangu Model Reshapes Thousands of Industries" sub-forum was held at the Shanghai World Expo Center. In the keynote speech "Pangu's large model solves difficult problems and reshapes thousands of industries with intelligence", Dong Libin, director of Huawei Cloud Marketing Department, shared Pangu's insights with more than 100 top experts and industry leaders in the field of artificial intelligence who attended the meeting. The new capabilities of Large Model 5.0 and the Pangu Large Model have penetrated into the fields of high-speed rail, steel, industrial design, architectural design, meteorology and other fields, reshaping the application progress of thousands of industries. He said that Pangu Large Model 5.0 adopts more modes and
- AI 492 2024-07-10 17:11:36
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- In the main battlefield of AI, Wanka is the standard configuration: the domestic GPU Wanka WanP cluster is here!
- ScalingLaw continues to show results, and the computing power can hardly keep up with the expansion of large models. "The larger the scale, the higher the computing power, and the better the effect" has become an industry standard. It only took one year for mainstream large models to jump from tens of billions to 1.8 trillion parameters. Giants such as META, Google, and Microsoft have also been building ultra-large clusters with more than 15,000 cards starting in 2022. "Wanka has become the standard for the main battlefield of AI." However, in China, there are only a handful of nationally produced GPU Wanka clusters. There is a super large-scale Wanka cluster with super versatility, which is a gap in the industry. When the domestic GPU Wanka WanP cluster made its debut, it naturally attracted widespread attention in the industry. On July 3, Moore Thread announced its AI flagship product in Shanghai
- AI 798 2024-07-10 15:07:26
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- The latest progress of the Ant Bailing large model: it already has native multi-modal capabilities
- On July 5, at the "Trusted Large Models Help Industrial Innovation and Development" forum at the 2024 World Artificial Intelligence Conference, Ant Group announced the latest research and development progress of its self-developed Bailing model: the Bailing model has the ability to "see" and "know". The native multi-modal capabilities of "listening", "speaking" and "drawing" can directly understand and train multi-modal data such as audio, video, pictures, text and so on. Native multimodality is considered to be the only way to AGI. In China, only a few large model manufacturers have achieved this capability. The reporter saw from the demonstration at the conference that multi-modal technology can make large models feel more like humans.
- AI 566 2024-07-10 15:06:57
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- In just a few seconds, protein dynamics information can be accurately inferred. AI models such as Shandong University and Beijing Institute of Technology RMSF-net are published in Nature sub-journals.
- Editor | The dynamics of the KX protein are critical to understanding its mechanism. However, computationally predicting protein kinetic information is challenging. Here, a research team from Shandong University, BioMap, Beijing Institute of Technology, Hubei Medical College, Ningxia Medical University and King Abdullah University of Science and Technology (KAUST) proposed a neural network model RMSF-net , which outperforms previous methods and produces state-of-the-art results in large-scale protein dynamics data sets; the model can accurately infer a protein's dynamics information in seconds. By efficiently learning from the integration of experimental protein structure data and cryo-EM data, the method is able to accurately identify cryo-EM images and PDBs
- AI 916 2024-07-10 14:55:00
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- Integrating multi-omics data, BGI team's graph neural network model SpatialGlue was published in Nature sub-journal
- Editor: KX Spatial Transcriptomics and Multi-omics Data Integration Spatial transcriptomics is a major development after single-cell transcriptomics, making the integration of multi-omics data crucial. SpatialGlue: A graph neural network model with dual attention mechanism. Research teams from the Singapore Agency for Science, Technology and Research (A*STAR), BGI and Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine proposed a graph neural network called SpatialGlue. model, which integrates multi-omics data through a dual attention mechanism to reveal the histologically relevant structure of tissue samples in a spatially aware manner. Advantages of SpatialGlue SpatialGlue is able to combine multiple data modalities with their respective spatial contexts. Compared with other methods
- AI 618 2024-07-03 20:32:35
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- Neural networks may no longer need activation functions? Layer Normalization also has non-linear expression!
- 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 all from the team of Associate Professor Huang Lei, School of Artificial Intelligence, Beihang University and National Key Laboratory of Complex Critical Software Environment. The first author, Ni Yunhao, is a first-year graduate student, the second author, Guo Yuxin, is a third-year graduate student, the third author, Jia Junlong, is a second-year graduate student, and the corresponding author is Associate Professor Huang Lei
- AI 1159 2024-07-03 14:11:33
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- Harbin Institute of Technology proposes an innovative iterative reasoning framework DPE-MNER: giving full play to the potential of multi-modal representation
- 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 team of this article comes from the Social Computing and Information Retrieval Research Center of Harbin Institute of Technology. The author team consists of: Zheng Zihao, Zhang Zihan, Wang Zexin, Fu Ruiji, Liu Ming, Wang Zhongyuan, Qin soldiers. Multimodal representation of multimodal named entity recognition as a basis for constructing multimodal knowledge graphs
- AI 525 2024-07-03 10:44:16
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