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- Tencent opens source training code for Hunyuan Wensheng graph large model and releases LoRA and ControlNet plug-ins
- On June 21, Tencent Hunyuan Wenshengtu large model (hereinafter referred to as Hunyuan DiT model) announced that it will fully open source the training code, and at the same time open source the Hunyuan DiTLoRA small-scale data set training solution and the controllable plug-in ControlNet. This means that enterprises and individual developers and creators around the world can fine-tune based on Hunyuan DiT training code, create more personalized exclusive models, and create with greater freedom; or based on Hunyuan DiT Modify and optimize the code, build your own applications based on this, and promote rapid iteration and innovation of technology. As a native Chinese model, users can directly use Chinese data and labels when fine-tuning through Hunyuan DiT's training code, without having to translate the data into English. Previously,
- AI 1186 2024-06-21 20:44:10
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- Kuaishou's 'Keling' explodes: a huge shock in overseas AI circles, the Chinese version of Sora is hard to find
- Just one year later, the AI-generated "eating noodles" has become so natural and smooth? This shocked netizens around the world. Source: https://x.com/CharaspowerAI/status/1799494388462063632 The generated videos on the right come from the Wensheng video model "Kling" just launched by Kuaishou. It is not a pre-release or a pure demo collection, but a product-level application that is directly open for testing, and everyone can apply. Moreover, Keling supports the generation of 1080P videos of up to 2 minutes and 30fps, focusing on "one-click conversion" from brainstorming to publishable works. (Official website address: https://kling.kuai
- AI 798 2024-06-21 01:13:40
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- From the college entrance examination to the Olympic arena: the ultimate battle between large models and human intelligence
- 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/ In the next 20 years, AI is expected to surpass humans
- AI 709 2024-06-20 21:14:41
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- Surpassing the CVPR 2024 method, DynRefer achieves multiple SOTAs in regional-level multi-modal recognition tasks
- In order to achieve high-precision regional-level multi-modal understanding, this paper proposes a dynamic resolution scheme to simulate the human visual cognitive system. The authors of this article are from the LAMP Laboratory of the University of Chinese Academy of Sciences. The first author Zhao Yuzhong is a doctoral student of the University of Chinese Academy of Sciences in 2023, and the co-author Liu Feng is a direct doctoral student of the University of Chinese Academy of Sciences in 2020. Their main research directions are visual language models and visual object perception. Introduction DynRefer significantly improves regional-level multi-modal recognition capabilities by simulating the human visual cognitive process. By introducing the dynamic resolution mechanism of the human eye, DynRefer can simultaneously complete region recognition, region attribute detection and region-level caption generation (region-levelcaptionin) with a single model.
- AI 720 2024-06-20 20:31:51
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- All CVPR 2024 awards announced! Nearly 10,000 people attended the conference offline, and a Chinese researcher from Google won the best paper award
- In the early morning of June 20th, Beijing time, CVPR2024, the top international computer vision conference held in Seattle, officially announced the best paper and other awards. This year, a total of 10 papers won awards, including 2 best papers and 2 best student papers. In addition, there were 2 best paper nominations and 4 best student paper nominations. The top conference in the field of computer vision (CV) is CVPR, which attracts a large number of research institutions and universities every year. According to statistics, a total of 11,532 papers were submitted this year, and 2,719 were accepted, with an acceptance rate of 23.6%. According to Georgia Institute of Technology’s statistical analysis of CVPR2024 data, from the perspective of research topics, the largest number of papers is image and video synthesis and generation (Imageandvideosyn
- AI 2487 2024-06-20 17:43:03
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- All speakers for VueConf 2024 have been confirmed and will be held in Shenzhen on July 6
- VueConf2024 will be held in Shenzhen on July 6. The countdown phase has now entered. Conference website: https://vueconf.cnVue.js The author You Yuxi will attend this conference and deliver a keynote speech. Speakers This conference will have 9 sharing guests to share with you! The speech topics will have a total of 9 sharing topics and 1 lightning sharing. 8 sharing themes and lightning sharing themes are now announced to you. The theme of You Yuxi’s speech will be announced on site! Keynote Speech Sharer: You Yuxi Ten Years Sharer: Vue.js core team member Zhao Jinjiang (Jinjiang) Keynote Introduction He will share his journey of joining the Vue core team for ten years (2014-2024). I hope this
- AI 1337 2024-06-20 14:00:58
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- New work by Andrew Ng's team: multi-modal and multi-sample context learning, quickly adapting to new tasks without fine-tuning
- 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 study evaluates multi-sample context learning of an advanced multi-modal base model on 10 data sets, revealing continuous performance improvements. Batch queries significantly reduce per-example latency and inference cost without sacrificing performance. These findings indicate that using a large number of demonstration examples can
- AI 1391 2024-06-19 20:58:55
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- ICLR 2024 Oral | To deal with distribution shifts that change over time, the University of Western Ontario and others proposed a learning time series trajectory method
- 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 Zeng Qiulin graduated from Harbin Institute of Technology and received a master's degree from the National University of Singapore. Under the guidance of Professor Wang Bo and Academician Ling Xiaofeng, during his doctoral period, he mainly carried out theoretical demonstration, method and application research on the distribution of random time changes. Already at ICLR
- AI 876 2024-06-19 20:45:51
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- How large models can solve data dilemmas, WAIC experts from industry, academia and research discuss ways to break through
- In the AGI era, large model technology has brought disruptive changes to the industry. The rapid iteration of large model technology cannot be separated from the support of massive data. The flow and sharing of high-quality professional data is an important link in promoting the accelerated development of large model technology applications. However, while large models create huge value, they also bring security and privacy challenges to the large-scale application of data. Providers of high-quality industry data are worried that large models will "remember" plaintext training data, resulting in loss of data value, so they are reluctant to provide industry data; information when users access large models may also be illegally collected and used by the model parties, resulting in personal privacy and the risk of trade secrets being disclosed. Privacy computing is of great significance and value for solving the data security and privacy issues that exist in this process. by World Artificial Intelligence Conference
- AI 407 2024-06-19 20:36:42
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- 'Resurrection' of ancient biological molecules, AI solves antibiotic resistance, two papers published by Fudan University and Penn University collaborative teams were published in Cell and Nature sub-journals
- Editor | Radish peel antibiotic-resistant infections cause about 1.27 million deaths worldwide every year. It is expected that by 2050, without effective new drugs, the number of deaths will reach 10 million people every year. Therefore, urgent measures are needed to deal with antibiotic resistance. . Cesardela Fuente, Presidential Assistant Professor at the University of Pennsylvania, said: "Even if you feel better, make sure you complete your course of antibiotics. This is a medical mantra that many people have heard but often ignore." He explained that this sentence is crucial Importantly, failure to comply may affect the effectiveness of antibiotics. "In recent decades, this has led to an increase in drug-resistant bacteria, a global health crisis
- AI 675 2024-06-19 17:15:12
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- Squirrel AI's new multi-modal intelligent adaptive large model launch conference was held, and the intelligent adaptive education software and hardware were fully upgraded.
- Recently, the launch conference of Squirrel AI's new multi-modal intelligent adaptive large model was grandly held in Shanghai. This conference was an unprecedented event, not only shockingly announcing the comprehensive upgrade of Squirrel AI multi-modal intelligent adaptive education model and system, but also launching a number of new intelligent adaptive education hardware products. With the comprehensive innovation of software and hardware ecology, Squirrel AI not only demonstrated its comprehensive breakthrough in the field of educational technology, but also announced the arrival of a new era of intelligent adaptive education. The large model of intelligent adaptive education has been significantly upgraded, moving towards a new era of multi-modal large models. At this release, Squirrel AI has unveiled a major upgraded model of intelligent adaptive education. The three dimensions of modal intelligent human-computer interaction and multi-modal intelligent testing and evaluation have achieved comprehensive iteration, marking the realization of educational technology
- AI 926 2024-06-19 17:12:29
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- Zhiyuan updated the ranking of large models: Doubao large model ranked first in China in 'objective evaluation'
- The FlagEval evaluation platform released the latest list. In the "objective evaluation" released in mid-June, GPT-4 ranked first among closed-source large models, Doubao-Pro (bean bag large model) ranked second, and also had the highest score. A large domestic model; followed by ERNIE4.0, Baichuan3, Moonshot-v1, etc. In the open answer evaluation, Doubao-Pro also ranked second, scoring more than GPT-4o and GPT-4. New technologies continue to emerge, and only platforms that can continue to pay attention to and adapt to new technologies can remain invincible in this highly competitive market. Word count: 114 Pictures: The large bean bag model won the second overall score in FlagEval’s objective evaluation (
- AI 1218 2024-06-19 14:05:01
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- Hinton serves as an advisor, and 'AI + materials” start-up CuspAI announces it has received US$30 million in seed round financing
- Editor | Cactus Carbon capture material innovation is transforming as artificial intelligence accelerates the materials design process. A new company has just come out of stealth mode and announced a $30 million seed round of financing to use artificial intelligence to quickly generate and evaluate a large number of novel structures to design new materials. The startup, CuspAI, is based in Cambridge and Amsterdam and was founded by renowned professionals in the field of artificial intelligence, including former Microsoft Research and Qualcomm Distinguished Scientist and Vice President Professor Max Welling, as well as chemists involved in the commercialization of deep technologies at Google and BASF Dr. Chad Edwards. Geoffrey Hinton, known as the "Godfather of Artificial Intelligence," will serve as an advisor to the board of directors. The startup is a materials
- AI 506 2024-06-19 14:01:30
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- AI in use | Oboi and Wei Xiaobao show affection, Ultraman and Huang Renxun fight, Luma overturns and is so cute
- Editor of the Machine Power Report: Yang Wen The wave of artificial intelligence represented by large models and AIGC has been quietly changing the way we live and work, but most people still don’t know how to use it. Therefore, we have launched the "AI in Use" column to introduce in detail how to use AI through intuitive, interesting and concise artificial intelligence use cases and stimulate everyone's thinking. We also welcome readers to submit innovative, hands-on use cases. A few days ago, San Francisco startup LumaAI did a big thing, launching a new generation of AI video generation model DreamMachine, claiming to be benchmarked against Sora. A large number of users took notice and went to experience it one after another, so much so that the server was almost overcrowded. As for the effect, the evaluation is polarized. Some netizens said directly:
- AI 996 2024-06-19 10:26:32
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- Runway version of Sora released: high fidelity, super consistency, Gen-3 Alpha shocked netizens
- Although the generated video is only about 10 seconds long, it seems to be comparable to all existing video generation models in terms of clarity, detail, and character consistency. Just now, AI video generation startup Runway launched a new video generation basic model Gen-3Alpha. The model can create highly detailed videos with complex scene changes, multiple cinematic styles and detailed art direction. Runway says the Gen-3 Alpha is the first in a series of upcoming models. Series models are trained on new infrastructure built for large-scale multi-modal training. Gen-3Alpha offers significant improvements in fidelity, consistency, and movement compared to Gen-2 and represents an important step toward building a universal world model.
- AI 829 2024-06-19 10:10:15
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