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- ICML 2024 | Signal representation is exponentially stronger, memory saving exceeds 35%, quantum implicit representation network is coming
- 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 Professor Zhang Peng, his master's student Zhao Jiaming, and doctoral students Qiao Wenbo and Gao Hui from the Department of Intelligence and Computing of Tianjin University. This research work was funded by the National Natural Science Foundation of China and the Tianjin University-China Science and Technology Wenge Joint Laboratory. Paper title: QuantumIm
- AI 842 2024-06-26 17:07:22
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- ICML 2024 | Signal representation is exponentially stronger, memory saving exceeds 35%, quantum implicit representation network is coming
- 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 Professor Zhang Peng, his master's student Zhao Jiaming, and doctoral students Qiao Wenbo and Gao Hui from the Department of Intelligence and Computing of Tianjin University. This research work was funded by the National Natural Science Foundation of China and the Tianjin University-China Science and Technology Wenge Joint Laboratory. Paper title: QuantumIm
- AI 561 2024-06-26 17:07:10
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- When AGI meets 'Land Airbus', SenseTime's Jueying large model gets on board LEVC
- On June 25, Geely Group's sub-brand Yizhen Automobile (LEVC)'s first luxury pure electric MPV Yizhen L380 was officially launched in Wuzhen, Zhejiang. This model has Airbus-class space, Airbus-class luxury, and Airbus-class endurance. , Airbus-level safety E-Zhen L380 is called "Land Airbus". Relying on AI large-scale model boarding, Yizhen L380 creates an innovative smart cockpit experience for users. As the leading company in smart cockpits in China, SenseTime has joined forces with LEVC Yizhen Automobile to help large-scale AI models be installed on the Yizhen L380, providing industry-leading services such as "AI Chat", "Beautiful Picture Wallpapers" and "Fairy Tale Picture Books" AI large model cockpit solution. In recent evaluations on multiple authoritative lists, SenseTime’s “Ririxin 5.0” large model has surpassed many indicators.
- AI 1120 2024-06-26 14:36:27
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- Tencent's large model app Yuanbao is online, and we used it to 'challenge” GPT-4o
- Tencent Yuanbao VSGPT-4o, who is better? Recently, Tencent changed its past slowness and suddenly "rolled up": on May 14, Tencent fully open sourced the Hunyuan Wensheng graph model; on May 17, Tencent released a one-stop AI agent creation and distribution platform "Tencent Yuan" "App"; on May 30, the App "Tencent Yuanbao" based on the Hunyuan large model was officially launched and is currently available for download in the App Store. Tencent Yuanbao is an efficient information integration tool based on the Hunyuan large model and driven by a search engine. It has a simple interface design and can search for real-time information, summarize and translate uploaded multi-format documents, and practice speaking through voice dialogue. Behind this upgrade of Tencent Yuanbao's product capabilities is the continuous iteration of Tencent's Hunyuan underlying model. According to reports
- AI 1181 2024-06-26 14:33:19
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- 30 times higher than traditional methods, the Transformer deep learning model of the Chinese Academy of Sciences team predicts sugar-protein interaction sites
- Editor | Radish skin sugars are the most abundant organic substances in nature and are vital to life. Understanding how carbohydrates regulate proteins during physiological and pathological processes can provide opportunities to address key biological questions and develop new treatments. However, the diversity and complexity of sugar molecules poses a challenge to experimentally identify sugar-protein binding and interaction sites. Here, a team from the Chinese Academy of Sciences developed DeepGlycanSite, a deep learning model that can accurately predict sugar-binding sites on a given protein structure. DeepGlycanSite incorporates protein geometric and evolutionary features into a deep equivariant graph neural network with a Transformer architecture, significantly outperforming previous state-of-the-art methods.
- AI 1162 2024-06-26 01:17:20
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- Eight times stronger than the original material, teams from Tsinghua University and Wuhan Institute of Technology used AI to screen high-entropy dielectric materials
- Editor | Radish skin dielectric materials can store and release electric charges and are widely used in capacitors, electronics and power systems. Due to their extremely high power density and fast response characteristics, they are used in fields such as hybrid electric vehicles, portable electronic devices, and pulsed power systems, but their energy density still needs to be further improved. High-entropy strategies have become an effective method to improve energy storage performance. However, discovering new high-entropy systems in high-dimensional composition spaces is a great challenge for traditional trial-and-error experiments. Based on phase field simulations and limited experimental data, research teams from Wuhan University of Technology, Tsinghua University, and Pennsylvania State University proposed a generative learning method to accelerate the discovery of high-entropy mediators in an infinite exploration space of more than 10^11 combinations. electrical materials (HED). Should
- AI 868 2024-06-26 00:29:51
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- A2M Artificial Intelligence Innovation Summit is about to open! Worked with 66 companies to reveal large model benchmark cases
- This year, the competition for large models finally turned a new page. Large models have moved from the "first half" of text length, dominated by language models, and focused on the cognitive level, to the "second half" of multimodal models, focusing on business models and scenario applications. Large models are setting off a "war of the gods", but many companies are stuck at a critical step, which is landing. In order to help more companies understand large model technology and apply it to practical work, the 2024 A2M Artificial Intelligence Innovation Summit organized by msup will be held at the Renaissance Shanghai Minjie Hotel on June 28-29. For this summit, the organizing committee invited 10 industry experts with professional perspective on topic selection.
- AI 1263 2024-06-26 00:23:22
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- Invitation letter|See the world and gather in the Yangtze River Delta-AI New Quality Productivity Development Forum is grandly opened. Welcome to attend!
- When artificial intelligence technology crosses the "valley of death", the potential of "new productivity" driven by AI is gradually released. The emergence of a new generation of artificial intelligence technology is leading the rapid iteration of emerging industries, new business formats, and innovative models, forming powerful new productivity and becoming the core driving force for high-quality development. The Yangtze River Delta region is one of the regions with the most active economic development, the highest degree of openness, and the strongest innovation capabilities in China. Regional collaborative cooperation not only improves the efficiency of resource allocation, but also provides strong support for key technological breakthroughs and talent training, accelerating the Yangtze River Delta to become one of the regions most suitable for developing new artificial intelligence productivity. The Yangtze River Delta National Technology Innovation Center takes promoting key technological research in important fields as its core mission, and collaborates with industry, academia and research institutes to promote the transfer of scientific and technological achievements.
- AI 682 2024-06-26 00:14:11
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- OpenAI has stopped serving, and large domestic models are available for free! Developer Token is freely implemented
- Early this morning, OpenAI suddenly announced the termination of API services to China, further tightening domestic developers’ access to high-level large models such as GPT. It’s really difficult for domestic developers. Fortunately, as the level of open source large models becomes higher and higher, developers already have many good "replacements", such as Qwen2, DeepSeekV2 and other models. In order to provide developers with open source large model APIs that are faster, cheaper, more comprehensive, and have a smoother experience, SiliconFlow, a professional player in the field of AIInfra, has come on the scene and launched SiliconCloud, a one-stop large model API platform. Just now, Silicon Mobile has presented an unprecedented gift to domestic developers: Qwen2(
- AI 1004 2024-06-25 20:56:11
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- Why has Feishu become the common choice among domestic large model unicorns?
- Title picture | Visual China In the past year or so, "large models" have been the most watched track in China's science and technology field. Especially after entering 2024, the enthusiasm of the entire industry can only be described as "hot": in terms of financing, the craze from 2023 to the present has gradually reached its peak, and the valuations of many leading startups have soared to billions of dollars; at the business level , emerging startups and Internet giants have launched a fierce competition around the capabilities and prices of basic large models, as well as the market share determined by the first two. More intense than the price war is the collision of business routes. Some companies adhere to the toC business model and focus on providing products and services directly to end users. Others turn to toB
- AI 463 2024-06-25 20:36:03
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- Areas CIOs should focus on to maintain GenAI's momentum
- GenAI remains a top investment priority for most enterprises, and expectations are high. According to the latest PwC survey, 61% of CEOs in the United States expect AI to change the way their business generates value, but to achieve this goal, companies must turn AI hype into reality. The good news is, they're getting better at it. In fact, according to the results of Databricks’ recently released State of Data + AI Report, companies pushed 1,342% of their models from the experimental stage into the real world, and their ambitions for data and AI have not diminished, and the number of experimental models has also An increase of 134%. These are encouraging signs, but based on my conversations with CIOs and other technology leaders, the challenge now is how to maintain this
- AI 1038 2024-06-25 18:35:41
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- Too complete! Apple launches new visual model 4M-21, capable of 21 modes
- Current multimodal and multitasking base models, such as **4M** or **UnifiedIO**, show promising results. However, their out-of-the-box ability to accept different inputs and perform different tasks is limited by the (usually small) number of modalities and tasks they are trained on. ,Based on this, researchers from the Ecole Polytechnique Fédérale de Lausanne (EPFL) and Apple jointly developed an **advanced** any-to-any modality single model that operates on dozens of **extensive and **diverse modes. It is trained on various modalities and collaboratively trained on large-scale multi-modal data sets and text corpora. A key step in the training process is to perform discrete **tokenization** on various modalities, whether they are similar images
- AI 1330 2024-06-25 17:17:19
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- The marketing effect has been greatly improved, this is how AIGC video creation should be used
- After more than a year of development, AIGC has gradually moved from text dialogue and picture generation to video generation. Looking back four months ago, the birth of Sora caused a reshuffle in the video generation track and vigorously promoted the scope and depth of AIGC's application in the field of video creation. In an era when everyone is talking about large models, on the one hand we are surprised by the visual shock brought by video generation, on the other hand we are faced with the difficulty of implementation. It is true that large models are still in a running-in period from technology research and development to application practice, and they still need to be tuned based on actual business scenarios, but the distance between ideal and reality is gradually being narrowed. Marketing, as an important implementation scenario for artificial intelligence technology, has become a direction that many companies and practitioners want to make breakthroughs. Once you master the appropriate methods, the creative process of marketing videos will be
- AI 595 2024-06-25 00:01:11
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- 'Encyclopedia' of AI small molecule drug discovery, reviewed by researchers from Cornell, Cambridge, EPFL and others published in Nature sub-journal
- Author | Editor Du Yuanqi of Cornell University | ScienceAI As AI for Science receives more and more attention, people are more concerned about how AI can solve a series of scientific problems and can be successfully used for reference in other similar fields. AI and small molecule drug discovery are one of the most representative and early explored fields. Molecular discovery is a very difficult combinatorial optimization problem (due to the discrete nature of the molecular structure) and the search space is very large and rugged. At the same time, it is very difficult to verify the properties of the searched molecules. It usually requires expensive experiments, at least simulation calculations, Quantum chemical methods to provide feedback. With the rapid development of machine learning and benefiting from early exploration (including the construction of simple and usable optimization goals and effect measures)
- AI 611 2024-06-24 21:20:21
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- Choosing the smartest AI in the Olympiad: Claude-3.5-Sonnet vs. GPT-4o?
- 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 research team of Shanghai Jiao Tong University’s Generative Artificial Intelligence Laboratory (GAIRLab)’s main research directions are: large model training, alignment and evaluation. Team homepage: https://plms.ai/AI technology is changing with each passing day. Recently, Anthr
- AI 1205 2024-06-24 17:01:06