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- AI startups collectively switched jobs to OpenAI, and the security team regrouped after Ilya left!
- Last week, amid the internal wave of resignations and external criticism, OpenAI was plagued by internal and external troubles: - The infringement of the widow sister sparked global heated discussions - Employees signing "overlord clauses" were exposed one after another - Netizens listed Ultraman's "seven deadly sins" Rumors refuting: According to leaked information and documents obtained by Vox, OpenAI’s senior leadership, including Altman, was well aware of these equity recovery provisions and signed off on them. In addition, there is a serious and urgent issue facing OpenAI - AI safety. The recent departures of five security-related employees, including two of its most prominent employees, and the dissolution of the "Super Alignment" team have once again put OpenAI's security issues in the spotlight. Fortune magazine reported that OpenA
- AI 1178 2024-06-08 13:00:10
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- CVPR\'24 Oral | A look at the past and present life of the pure sparse point cloud detector SAFDNet!
- Written above & The author’s personal understanding is that 3D point cloud object detection is crucial to autonomous driving perception. How to efficiently learn feature representations from sparse point cloud data is a key challenge in the field of 3D point cloud object detection. In this article, we will introduce the HEDNet published by the team in NeurIPS2023 and SAFDNet in CVPR2024. HEDNet focuses on solving the problem that existing sparse convolutional neural networks are difficult to capture the dependencies between long-distance features, while SAFDNet is a pure network based on HEDNet. Sparse point cloud detector. In point cloud object detection, traditional methods often rely on hand-designed feature extractors, which have limited effectiveness when processing sparse point cloud data. In recent years, based on
- AI 723 2024-06-08 12:25:22
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- Tencent Hunyuan releases open source acceleration library, shortening image generation time by 75%
- On June 8, Tencent released an acceleration library for Tencent’s Hunyuan text-generated open-source large model for graph generation (referred to as the Hunyuan DiT model), which greatly improves reasoning efficiency and shortens graph generation time by 75%. The threshold for using the Hunyuan DiT model has also been significantly reduced. Users can use the Tencent Hunyuan Wensheng graph model capabilities based on the graphical interface of ComfyUI. At the same time, the Hunyuan DiT model has been deployed to the HuggingFaceDiffusers general model library. Users can call the Hunyuan DiT model with only three lines of code without downloading the original code library. Previously, Tencent announced that the Hunyuan text generation model has been fully upgraded and open sourced, and can be used by enterprises and individual developers for free commercial use. This is the industry’s first open source Chinese-native DiT architecture text generation diagram.
- AI 1232 2024-06-08 12:12:11
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- Supports 380,000 words input at a time! Tencent Hunyuan launches 256k long article model, open to enterprises and individual developers through Tencent Cloud
- AI large model technology is becoming a key force in promoting the development of high-quality productivity and plays an important role in integration with thousands of industries. Tencent's Hunyuan large model has expanded the model to trillions of parameter scale by adopting a mixed expert model (MoE) structure, increasing the "brain" capacity to improve prediction performance while driving down inference costs. As a general model, Tencent Hunyuan leads the industry in Chinese performance, especially in text generation, mathematical logic and multi-turn dialogue. Recently, Tencent Hunyuan Large Model officially released the 256k long text model and opened it to the majority of enterprises and individual developers through Tencent Cloud to support a wider range of innovation and applications. Tencent Hunyuan 256k model version has the ability to process ultra-long text of more than 380,000 characters.
- AI 514 2024-06-08 11:11:19
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- IEEE ICWS's first intelligent service supervision workshop is now calling for submissions!
- IEEEICWS (IEEE International Conference on Web Services), the IEEE International World Wide Web Conference, will be held in Shenzhen, China from July 7 to 13, 2024! ICWS is a CCF-B international forum that aims to exchange the latest basic progress in the latest technologies and practices of network-based services, identify emerging research topics, and define the future of network-based services. SRG is IEEEICWS's first workshop focused on smart service supervision. Submission link: https://icws.conferences.computer.org/2024/srg-workshop/SRG Introduction Number
- AI 458 2024-06-08 09:14:09
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- What is general artificial intelligence? do you know?
- Picture picture picture picture picture picture Narrow artificial intelligence, corresponding to the English ArtificialNarrowIntelligence, referred to as ANI, is also called task-specific artificial intelligence. Intelligent technology has been widely used to complete various specific tasks, such as intelligent driving, face recognition, AlphaGo, AI painting, natural language models, etc., which all belong to the category of intelligent technology. Pictures have broken through artificial intelligence and naturally have higher intelligence in a specific field, but they are only limited to that field. For example, there is no way for you to get an AI painting model to play Go with you, no way for a face recognition model to drive a car, and no way for you to get AlphaGo to write an article. On the other hand, human beings, although they only have a small brain (and numbers)
- AI 826 2024-06-08 09:10:05
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- To make large models play a greater role, it is inseparable from the key element of knowledge base.
- In the world of large models, there are some slang words, such as "drawing cards" and "refining alchemy". These terms sound easy and fun, but for the "elixir" to really work, there is a key element behind it - a knowledge base. In this knowledge base, a large amount of information and techniques are stored to help players better understand and use these slangs. The knowledge base not only contains the rules and gameplay of the game, but also involves the background story and characters of the game. From natural language processing (NLP) and content generation to image recognition, the large model has demonstrated amazing capabilities in various fields. However, when large models deal with problems in specific fields, the output results may not be accurate or relevant enough due to the lack of necessary background knowledge. How should we understand the knowledge base built specifically for AI? knowledge base
- AI 690 2024-06-07 22:44:36
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- Revolutionary GPT-4o: Reshaping the human-computer interaction experience
- The GPT-4o model released by OpenAI is undoubtedly a huge breakthrough, especially in its ability to process multiple input media (text, audio, images) and generate corresponding output. This ability makes human-computer interaction more natural and intuitive, greatly improving the practicality and usability of AI. Several key highlights of GPT-4o include: high scalability, multimedia input and output, further improvements in natural language understanding capabilities, etc. 1. Cross-media input/output: GPT-4o+ can accept any combination of text, audio, and images as input and directly generate output from these media. This breaks the limitation of traditional AI models that only process a single input type, making human-computer interaction more flexible and diverse. This innovation helps power smart assistants
- AI 566 2024-06-07 21:02:31
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- Registration for the 2024 Beijing Zhiyuan Conference is open!
- Beijing Zhiyuan Conference is a comprehensive expert event in the field of artificial intelligence. Since its debut in October 2019, it has been successfully held for five times. With distinctive features, the conference invites researchers from home and abroad to give wonderful speeches and in-depth dialogues. A total of 11 Turing Award winners have participated in the conference. Every year, about 200 top experts attend, and 500,000 viewers from more than 30 countries and regions gather together. , share research results, explore cutting-edge knowledge, exchange practical experience, and establish close cooperation. Features of the conference: Global perspective: Face-to-face communication with the world's top experts, experience the charm of technology without borders. Collision of ideas: Outstanding researchers of the year gather together to exchange new ideas and explore new ideas. Frontier leadership: explore key issues in the AI field, release important concepts, and guide Future Directions The brilliant chapter of the past five years,
- AI 958 2024-06-07 19:36:31
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- XJTLU and the University of Liverpool propose: the first comprehensive review of point cloud data enhancement
- 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 this paper, Zhu Qinfeng, is a first-year doctoral candidate jointly trained by Xi'an Jiaotong-Liverpool University and the University of Liverpool. His supervisor is Associate Professor Fan Lei. His main research directions are semantic segmentation, multi-modal information fusion, 3D vision, hyperspectral images and data enhancement. The lesson
- AI 816 2024-06-07 18:54:46
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- Generative AI model big PK——GPT-4, Claude 2.1 and Claude 3.0 Opus
- To learn more about AIGC, please visit: 51CTOAI.x Community https://www.51cto.com/aigc/ Introduction Currently, new evaluations of RAG (Retrieval Augmentation Generation) systems seem to be released every day, many of which focus on During the retrieval phase of the relevant frame. However, the generative aspect—how the model synthesizes and expresses this retrieved information—may be equally important in practice. Many practical application cases prove that the system not only needs to return data from the context, but also needs to transform this information into a more complex response. To this end, we have conducted several experiments and tested the generation capabilities of three models: GPT-4, Claude2.1 and Claude3Opus.
- AI 1172 2024-06-07 18:32:37
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- Do different data sets have different scaling laws? And you can predict it with a compression algorithm
- Generally speaking, the more calculations it takes to train a neural network, the better its performance. When scaling up a calculation, a decision must be made: increase the number of model parameters or increase the size of the data set—two factors that must be weighed within a fixed computational budget. The advantage of increasing the number of model parameters is that it can improve the complexity and expression ability of the model, thereby better fitting the training data. However, too many parameters can lead to overfitting, making the model perform poorly on unseen data. On the other hand, expanding the data set size can improve the generalization ability of the model and reduce overfitting problems. Let us tell you: As long as you allocate parameters and data appropriately, you can maximize performance within a fixed computing budget. Many previous studies have explored Scalingl of neural language models.
- AI 794 2024-06-07 17:51:01
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- Wuhan citizens praise autonomous driving, and the Municipal Transportation Bureau: Work with leading companies to create a new blueprint for the intelligent connected car industry
- "Wuhan City attaches great importance to the development of the intelligent connected vehicle industry and has successively opened more than 1,000 kilometers of open roads for intelligent connected vehicles. It encourages leading intelligent connected vehicle companies to settle in Wuhan and work together to create a new blueprint for the development of Wuhan's intelligent connected vehicle industry. Baidu Carrot As a leading company in the autonomous driving industry, Kuaipao attaches great importance to the development of Wuhan's intelligent connected automobile industry and has been deeply involved in autonomous driving services since it settled in Wuhan Economic Development Zone in August 2022. Baidu Luobo Kuaipao will continue to promote autonomous driving experience services to allow more Many citizens feel the technological charm brought by autonomous driving technology. "On May 30, the Wuhan Municipal Transportation Bureau responded to citizens' demands for increased positive publicity of autonomous driving, which attracted widespread attention. The above-mentioned citizen stated in his message,
- AI 387 2024-06-07 17:31:02
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- Hot ChatTTS broke through the open source voice ceiling and gained 9k stars in 3 days
- Is this what the future of communication between people will look like? Recently, a text-to-speech project called ChatTTS has become popular and attracted great attention. In just three days, it has gained 9.2k stars on GitHub. Project address: https://github.com/2noise/ChatTTS/tree/main The author himself also said on x that ChatTTS has broken through the open source ceiling. However, what is currently open source is only the base model, which has not been supervised and fine-tuned by SFT. This project converts text into speech, and the effect is as follows: ChatTTS can not only speak Chinese, but also hold English. It also supports some fine-grained control, which allows you to add laughter, speaking, etc.
- AI 661 2024-06-07 17:10:54
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- Groundbreaking CVM algorithm solves more than 40 years of counting problems! Computer scientist flips coin to figure out unique word for 'Hamlet'
- Counting sounds simple, but in practice it is very difficult. Imagine you are transported to a pristine rainforest to conduct a wildlife census. Whenever you see an animal, take a photo. Digital cameras only record the total number of animals tracked, but you are interested in the number of unique animals, but there is no statistics. So what's the best way to access this unique animal population? At this point, you must be saying, start counting now and finally compare each new species from the photo to the list. However, this common counting method is sometimes not suitable for information amounts up to billions of entries. Computer scientists from the Indian Statistical Institute, UNL, and the National University of Singapore have proposed a new algorithm - CVM. It can approximate the calculation of different items in a long list.
- AI 1104 2024-06-07 15:44:57
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