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- The success rate exceeds that of the RoseTTAFold series, using sequence information to directly predict protein-ligand complex structures.
- Editor | Radish skin protein is a well-established tool in the body's fight against pathogens and is being used to narrow down potential treatments for experimental testing. High-quality protein structure is required, and proteins are often viewed as fully or partially rigid. Here, researchers at Freie Universität Berlin have developed an artificial intelligence system that can predict fully flexible all-atom structures of protein-ligand complexes directly from sequence information. Although classical docking methods are still superior, this also depends on the crystal structure of the target protein. In addition to predicting flexible all-atom structures, the prediction confidence metric (plDDT) can be used to select accurate predictions and differentiate between strong and weak binders. The study is based on
- AI 1364 2024-06-19 10:09:49
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- Bytedance Doubao and Wuhan University proposed CAL: enhancing multi-modal alignment effects through visually related tokens
- 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 current mainstream visual language model (VLM) is mainly based on further fine-tuning of the large language model (LLM). Therefore, it is necessary to map the image to the embedding space of LLM in various ways, and then use autoregressive methods to predict the answer based on the image token. Been here
- AI 1032 2024-06-19 09:53:01
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- Killing like crazy! Google rolls video to speech, and realistic sound effects make AI videos farewell to silence!
- The booming situation in the AI circle has come as a surprise to the public. These days, the other side of the ocean is going crazy! Luma's excitement hasn't passed yet, last night Runway released a king bomb - Gen-3Alpha. (For details, please go to: Runway version of Sora released: high fidelity, super consistency, Gen-3Alpha shocked netizens) What was even more unexpected was that when I woke up, Google DeepMind also had new news, which was quietly released Progress in video-to-speech (V2A) technology. Although this feature is not yet open to the public, judging from the official video demo, the effect is quite smooth. At the same time, GoogleDeepMind
- AI 524 2024-06-19 09:36:24
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- The answer extraction accuracy rate reaches 96.88%, xFinder eliminates the 'cheating' mentality of large models
- 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 and corresponding author of this article are both from Shanghai Algorithm Innovation Research Institute. Among them, the corresponding author Dr. Li Zhiyu graduated from Renmin University of China majoring in computer science, and has been engaged in algorithm implementation and research work in Internet companies such as Alibaba and Xiaohongshu, and has participated in projects including 100 billion
- AI 951 2024-06-19 08:11:50
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- A luxury electric off-road vehicle with global maneuverability, the Warrior 917 Dragon Armor is now available for pre-sale
- On June 17, China’s first movie co-branded car, the Warrior 917 Dragon Armor, a fully mobile luxury electric off-road vehicle owned by Dongfeng’s Warrior Technology, officially opened for pre-sale. The new car’s pre-sale price range is 768,000 yuan to 868,000 yuan. The Warriors 917 Dragon Armor has also launched an attractive reservation policy: users who place a reservation before September 17 can enjoy a lifetime vehicle warranty, lifetime free vehicle delivery, lifetime free mobile service vehicle, lifetime free roadside assistance, and 5 consecutive 20GB monthly cockpit entertainment traffic per year, 896 bonus for one-year audio and video membership card. In addition, three limited-edition gifts including home charging piles, carbon fiber interior kits, and original chassis armor kits will be given, with a total value of 28,000 yuan. Warrior 917 Dragon
- AI 592 2024-06-19 06:01:29
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- Tsinghua University and other universities launch the first open source large model watermarking toolkit MarkLLM, which supports nearly 10 latest watermarking algorithms
- 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 article was jointly completed by Tsinghua University, Shanghai Jiao Tong University, University of Sydney, UCSB, Chinese University of Hong Kong, Hong Kong University of Science and Technology, and Hong Kong University of Science and Technology (Guangzhou). The main authors include: Pan Leyi (first author), an undergraduate student at Tsinghua University, whose research direction is large model water
- AI 1132 2024-06-19 05:13:08
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- Exploring atomic diffusion in composite materials, UC develops neural network dynamics method
- Editor | Green Luo is like the fragrance of flowers that spreads in the wind and hits your face. The atoms and molecules in the material are also "diffusion". Dispersion in materials determines the dynamics of precipitation, new phase formation and microstructural evolution and strongly affects mechanical and physical properties. The inherent chemical complexity of materials with complex compositions poses challenges to atomic diffusion modeling and the formation of chemically ordered structures. In this regard, researchers from the University of California propose a neural network dynamics (NNK) method for predicting atomic diffusion and the resulting microstructural evolution in materials with complex compositions. The framework is based on efficient lattice structure and chemical characterization, combined with artificial neural networks, and is able to accurately predict all path-dependent migration barriers and single atom hopping. Scalable NNK framework for exploring
- AI 839 2024-06-19 05:04:39
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- Single-lens 16-second 720p high-definition video is generated with one click, and the open source version of Sora has new surprises
- The Luchen Open-Sora team has achieved breakthrough progress in 720p high-definition video quality and generation time, supporting the seamless production of high-quality short films of any style. Surprisingly, they have chosen to bring another 100 million points to the open source community. Shocked, continue to open source everything. Open source address: https://github.com/hpcaitech/Open-Sora uses their model weights to generate a variety of cool short films, such as close contact between waves and conches, and unfathomable secrets in the forest. The rendering of character portraits is also quite realistic. It can also accurately render the cyberpunk style, making the short film instantly full of a strong sense of the future and technology. The image is compressed. It can also generate interesting and vivid animated shots, bringing great
- AI 581 2024-06-18 20:57:51
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- The computational efficiency was increased by more than 100 times, and was submitted to Li Jinjin's team to develop a large model based on Transformer for ab initio molecular dynamics calculations.
- Author | Editor Tao Kehao | Cabbage leaf Accurate simulation of the dynamic behavior of atoms and molecules is crucial for the development of a new generation of high-efficiency materials. However, traditional ab initio molecular dynamics (AIMD) simulations naturally provide high-precision prediction capabilities, but their high computational cost and long simulation time greatly limit the progress of research. For example, setting up a 30 picosecond simulation of a material system containing 100 atoms usually takes several months, which poses a huge challenge to the development of new materials that require rapid iteration and optimization. In this context, an artificial intelligence model that can significantly speed up this process is of great value. Faced with these challenges, Shanghai Jiao Tong University Artificial Intelligence and Microstructure Laboratory (AIMS-lab) developed a system called T-AIMD
- AI 1171 2024-06-18 18:02:54
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- Large model + Monte Carlo tree search, one move makes LLaMa-3 8B Mathematical Olympiad level close to GPT-4
- Through innovation at the algorithm level, the ability of large language models to solve mathematical problems will continue to improve in the future. In the past few days, the news that 17-year-old Jiang Ping from a technical secondary school ranked 12th in the world in the 2024 Alibaba Global Mathematics Competition qualifiers has flooded the screen. At the same time, the results of the AI Challenge show that among all 563 AI participating teams, the highest score was 34 points and the average score was 18 points, catching up with the average level of human players. The main shortcoming of AI participating in mathematics competitions is its weak logical reasoning ability, and it is difficult to get full points for proof questions. This is also a major challenge faced by current large language models (LLM) such as GPT-4 and LLaMA in tasks that require strategy and logical reasoning. One of the important obstacles is the accuracy and reliability of the output, especially when precision is required.
- AI 1289 2024-06-18 16:46:12
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- The 3D version of SORA is here! DreamTech launches Direct3D, the world's first native 3D-DiT large model
- In May 2024, DreamTech officially announced its high-quality 3D generation large model Direct3D, and published the related academic paper Direct3D: ScalableImage-to-3DGeneration via 3DLatentDiffusionTransformer. Link: https://arxiv.org/abs/2405.14832 This is the first publicly released 3D large model of a native 3D generation route. By using 3DDiffusionTransformer (3D-DiT), it solves the high-quality 3D content generation that has long plagued the industry. problem. Adhere to the native 3D technology route and take
- AI 1170 2024-06-18 09:57:21
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- Let Lu Xun speak tongue twisters and Hepburn play hip-hop. Another video model went viral and was founded by a Chinese doctor from Stanford.
- The team members are all from Stanford University, and the CTO is also a die-hard fan of Taylor Swift. The field of AI video is going crazy. The carnival caused by Luma is not over yet, there is another challenger in the AI video circle-Proteus produced by the Stanford University team. According to reports, Proteus is a low-latency basic model that can generate highly realistic and expressive characters. For example, let the protagonist in the world-famous painting - Mona Lisa or the girl with pearl earrings - laugh unbridled, with natural and smooth facial expressions: let Audrey Hepburn change her past lady image and start hip-hop rap: Also Let "Harry&
- AI 601 2024-06-16 22:52:40
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- The most promising episode for high-quality 3D generation? GaussianCube comprehensively surpasses NeRF in 3D generation
- The AIxiv column on this website is a column that 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 the research field of 3D generative modeling, the two current categories of 3D representation methods are either based on implicit decoders with insufficient fitting capabilities, or lack clearly defined spatial structures and are difficult to integrate with mainstream 3D diffusion technologies. From USTC, Tsinghua and Microsoft Research Asia
- AI 1407 2024-06-16 22:50:00
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- NVIDIA's most powerful open source universal model Nemotron-4 340B
- The performance exceeds Llama-3 and is mainly used for synthetic data. NVIDIA's general-purpose large model Nemotron has open sourced the latest 340 billion parameter version. On Friday, NVIDIA announced the launch of Nemotron-4340B. It contains a series of open models that developers can use to generate synthetic data for training large language models (LLM), which can be used for commercial applications in all industries such as healthcare, finance, manufacturing, and retail. High-quality training data plays a critical role in the responsiveness, accuracy, and quality of custom LLMs—but robust data sets are often expensive and inaccessible. Through a unique open model license, Nemotron-4340B provides developers with
- AI 834 2024-06-16 22:32:02
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- The final conclusion of the ACL 2024 paper: large language model ≠ world simulator, Yann LeCun: That's so right
- If GPT-4 is only about 60% accurate when simulating state changes based on common sense tasks, then should we still consider using large language models as world simulators? In the past two days, a paper "CanLanguageModelsServeasText-BasedWorldSimulators?" selected for ACL2024 has sparked heated discussions on social media X, and even Turing Award winner Yann LeCun also participated. This paper explores the question: Can current language models themselves act as world simulators and correctly predict how actions change different world states, thereby avoiding the need for extensive manual coding? In response to this issue, researchers from the University of Arizona and New York University
- AI 913 2024-06-16 22:31:09
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