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- The automotive AI market is expected to reach US$31.11 billion by 2032
- According to data report analysis, the valuation of the automotive artificial intelligence market will reach US$4.14 billion in 2024 and is expected to reach US$31.11 billion by 2032. The market will grow at a CAGR of 29% from 2024 to 2032. Artificial intelligence is a new stepping stone for the automotive industry towards a new value future. The application of artificial intelligence in the automotive industry is not limited to the automotive industry itself, but extends far beyond the automotive industry's development, logistics, production, engineering, supply chain, customer experience, marketing, sales, after-sales and mobile services. In the automotive industry, artificial intelligence is moving towards new and greater changes on a large scale. Many times, when people mention artificial intelligence in the context of cars, they associate it with artificial intelligence-based self-driving cars. in fact
- AI 614 2024-04-18 22:37:21
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- Review! Deep model fusion (LLM/basic model/federated learning/fine-tuning, etc.)
- In September 23, the paper "DeepModelFusion:ASurvey" was published by the National University of Defense Technology, JD.com and Beijing Institute of Technology. Deep model fusion/merging is an emerging technology that combines the parameters or predictions of multiple deep learning models into a single model. It combines the capabilities of different models to compensate for the biases and errors of individual models for better performance. Deep model fusion on large-scale deep learning models (such as LLM and basic models) faces some challenges, including high computational cost, high-dimensional parameter space, interference between different heterogeneous models, etc. This article divides existing deep model fusion methods into four categories: (1) "Pattern connection", which connects solutions in the weight space through a loss-reducing path to obtain a better initial model fusion
- AI 992 2024-04-18 21:43:07
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- Tencent Docs launches innovative smart whiteboard category, self-developed Kaiwu engine supports full-end applications
- Tencent Documents announced that it will hold the "Imagine" 2024 product launch conference online on April 18. Dr. Yan Xian, general manager of Tencent's Social Collaboration Product Department and head of Tencent Documentation, officially released a product matrix such as smart whiteboard innovative product categories, dual-core editing "Kaiwu Engine", and cloud-plus-end solutions at the meeting. He said that on the basis of self-developed document categories and self-developed dual-core engines, Tencent Documents is also fully equipped with AI assistants and is committed to creating a professional and intelligent Office product experience to improve user and enterprise productivity. At the same time, one year after the full commercialization trial was launched, the number of individual paying users of Tencent Docs has exceeded 1 million, and the cumulative number of paying companies and organizations has exceeded 20,000. New product capabilities such as smart whiteboards and AI assistant mobile terminals were released at this conference.
- AI 780 2024-04-18 21:13:01
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- 2024 QS ranking released! Computer science MIT dominates the list, Tsinghua University is 11th, Peking University is 15th
- The 2024QS World University Rankings by Subject is here! Overall, there is little change from 2023. According to the official website information, the 2024QS World University Rankings by Subject covers 55 subdivisions and 5 major academic fields. A total of 1,559 universities participated in the ranking, 64 of which are new faces this year (that is, they will not appear in the 2023 ranking). Among these 64 colleges and universities, 14 are truly appearing for the first time. Among them is the University of Chinese Academy of Sciences. According to the refined subjects, Music is a new subject introduced this year. In addition, the data science and artificial intelligence rankings have been expanded, with 51 new universities added to the rankings. The top five in the overall list are: Massachusetts Institute of Technology, University of Cambridge, University of Oxford, and Harvard University
- AI 1154 2024-04-18 21:04:27
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- Hello, electric Atlas! Boston Dynamics robot comes back to life, 180-degree weird moves scare Musk
- Boston Dynamics Atlas officially enters the era of electric robots! Yesterday, the hydraulic Atlas just "tearfully" withdrew from the stage of history. Today, Boston Dynamics announced that the electric Atlas is on the job. It seems that in the field of commercial humanoid robots, Boston Dynamics is determined to compete with Tesla. After the new video was released, it had already been viewed by more than one million people in just ten hours. The old people leave and new roles appear. This is a historical necessity. There is no doubt that this year is the explosive year of humanoid robots. Netizens commented: The advancement of robots has made this year's opening ceremony look like a human, and the degree of freedom is far greater than that of humans. But is this really not a horror movie? At the beginning of the video, Atlas is lying calmly on the ground, seemingly on his back. What follows is jaw-dropping
- AI 738 2024-04-18 19:58:27
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- The first domestic music SOTA model is here! Optimized specifically for Chinese, free to use, no restrictions on genres
- On the first anniversary of the release of the "Tiangong" model, Kunlun Worldwide announced that the "Tiangong 3.0" base model and the "Tiangong SkyMusic" music model have officially launched public beta. Since AI allows humans to achieve the freedom of music creation, even quarrels have become interesting. In the past, Aran Komatsuzaki, a well-known AI blogger on the X platform, wrote a song specifically to express his dissatisfaction with another AI scientist, Gary Marcus, and generated it using the currently popular Suno. You know, in the past, the war of words between these big guys was mainly to post a post, and then you and I would follow up. This time, Aran Komatsuzaki’s approach can be said to be a new trick. I don’t know if it is
- AI 1183 2024-04-18 18:50:32
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- Musk's AI robot Grok makes a joke, misinterpreting players' missed shots as 'destroying houses with bricks'
- On the evening of the 18th, Golden State Warriors guard Klay Thompson made 0 of 10 shots in the game against the Sacramento Kings, causing the team to miss the NBA playoffs. What made fans even more dumbfounded was that Grok, the artificial intelligence assistant of Musk's social media platform X, generated a hot news item claiming that Thompson was destroying houses in the area with bricks. Yao Qie is not interested in basketball, but even ordinary viewers can easily see the fiction of this news. However, Grok doesn't seem that smart. After seeing a large number of users discussing posts about players "shooting bricks" (missing shots), it misunderstood this court term and used it bluntly to form a completely fictional news report. Note on this website
- AI 1235 2024-04-18 16:07:14
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- Supply Chain Management in the Construction Industry: The Ultimate Guide
- What is supply chain management in the construction industry? First of all, what is supply chain management? Supply chain management (SCM) is the oversight of materials, information and finances throughout the process, from suppliers to manufacturers, wholesalers, retailers, ultimately to the consumer. The main processes in the supply chain include product flow, information flow and capital flow. SCM involves coordinating and integrating these processes within and between enterprises. It is one of the most complex areas of the construction value chain. The supply chain management industry is currently in a high-growth phase, driven by innovations such as artificial intelligence, data analytics, and machine learning. It is estimated that its global market value will be US$23 million by 2023 and is expected to grow by 11.2% from 2024 to 2030. In the construction industry, supply chain management (SCM)
- AI 427 2024-04-18 16:01:27
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- Meta unlimited long text large model is here: only 7B parameters, open source
- After Google, Meta also comes to roll infinitely long contexts. The quadratic complexity and weak length extrapolation of Transformers limits their ability to scale to long sequences. Although quadratic solutions such as linear attention and state space models exist, from past experience, they suffer from pre-training efficiency. and poor performance on downstream task accuracy. Recently, Infini-Transformer proposed by Google has attracted people's attention by introducing an effective method to extend Transformer-based large language models (LLM) to infinitely long inputs without increasing storage and computing requirements. Almost at the same time, Meta also proposed an infinitely long text technology. Paper address: https://arxi
- AI 1019 2024-04-18 15:40:01
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- Everyone can become an AI developer! Robin Li brings three major AI development tools
- Emerging as the brightest star in the technology field in early 2023, it demonstrates the huge potential of Kai AI technology to transform the economy and society. After more than a year of technological breakthroughs and market verification, entering 2024, the huge value of large models has been recognized by mainstream countries, and mainstream technology companies have made plans. Countries such as the United States and China are in the future of leading the development of the large model industry. Among domestic technology companies, Baidu was the first to release Wenxin's large model and has achieved extraordinary results. At the Create2024 Baidu AI Developer Conference held today, Robin Li, founder, chairman and CEO of Baidu, revealed in his keynote speech that the number of Wenxin Yiyan users exceeded 200 million, and the Wenxin Big Model has become China's leading and most widely used model. Extensive AI base models. At the same time, Robin Li
- AI 824 2024-04-18 15:40:01
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- How does artificial intelligence bring revolutionary changes to smartphones?
- Artificial intelligence (AI) has always been considered a core functional technology in various fields, and smartphones are a typical example of the possibilities and energy of the new generation. Artificial intelligence is no longer just a matter of matching human interface levels, but of making devices perform better than ever before. This article will discuss the artificial intelligence capabilities of smartphones and how it will revolutionize modern smartphones. Personalized User Experience Today, smartphones can recommend more frequent updates, content suggestions, and notifications with the help of smart artificial intelligence algorithms that leverage the user’s activities, taste preferences, and trend observations. New-generation mobile technologies such as personalized home screens, artificial intelligence (AI) voice assistants, and virtual reality (VR) applications only solve the problem of smartphone users.
- AI 551 2024-04-18 14:43:14
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- New direction of digital twin application: analyzing infant development
- Research led by the University of Chicago shows that "digital twins" driven by AI technology can model the baby's microbiome to predict possible neurodevelopmental problems that may occur later in the baby's growth. Using very early gut microbiome-related data from fecal samples of premature infants, the digital twin was able to very accurately predict their later microbiome composition and corresponding neurodevelopmental defects. "We just looked at a snapshot of the microbiome and analyzed different levels of each type of bacteria," lead author Ishanu Chattopadhyay of the University of Chicago said in a statement. Quick conclusion: This is because the microbiome continues to change and mature during early childhood."
- AI 886 2024-04-18 11:10:18
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- Thoughts and practice on assisted generation of B-end front-end code under large models
- 1. Code specifications during background reconstruction work: During the B-end front-end development process, developers will always face the pain point of repeated development. The element modules of many CRUD pages are basically similar, but they still need to be developed manually, and time is spent on simple element construction. This reduces the development efficiency of business requirements. At the same time, because the coding styles of different developers are inconsistent, it makes it more expensive for others to get started during iterations. AI replaces simple brainpower: With the continuous development of large AI models, it has simple understanding capabilities and can convert language into instructions. General instructions for building basic pages can meet the needs of daily basic page building and improve the efficiency of business development in general scenarios. 2. Generate link list. B-side page lists, forms, and details can all be generated. Links can be roughly divided into the following categories:
- AI 1127 2024-04-18 09:30:15
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- Sweep 99 sub-missions with MoE! Zhejiang University and others proposed a new general robot strategy GeRM
- Multi-task robot learning is of great significance in coping with diverse and complex scenarios. However, current methods are limited by performance issues and difficulties in collecting training datasets. This paper proposes GeRM (Generic Robot Model), where researchers leverage offline reinforcement learning to optimize data utilization strategies, learning from demonstrations and suboptimal data, thereby transcending the limitations of human demonstrations. Authors: Song Wenxuan, Zhao Han, Ding Pengxiang, Cui Can, Lu Shangke, Fan Yaning, Wang Donglin Unit: West Lake University, Zhejiang University Paper address: https://arxiv.org/abs/2403.13358 Project address: https://songwxuan.github .io/GeRM/ will be based on Tra
- AI 685 2024-04-17 23:40:24
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- A new breakthrough was made in the minimum cut problem of undirected graphs, and Google research won the SODA 2024 Best Paper Award
- Google blog released new research to solve the minimum cut problem of undirected graphs. In 1996, American computer scientist David R Karger and other researchers proposed a surprising random algorithm Karger algorithm in the paper "A new approach to the minimum cut problem". It is very important in theoretical computer science and is especially suitable for approximate minimum cut problems on large-scale graphs. Karger's algorithm can find a minimum cut point in a graph in time O(mlog^3n). They call this time nearly linear time, which means linear multiplication by a polylogarithmic factor. In a blog just updated by Google, they introduced a previously published paper "Det
- AI 866 2024-04-17 21:58:01
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