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- China's representative AR power: Rokid AR Lite spatial computing suite released, with comprehensive software and hardware upgrades
- On April 20, 2024, Rokid held the Rokid Open Day conference in Hangzhou with the theme of “fun, good-looking, and good”. Rokid officially released a new generation of ARLite spatial computing suite, shared Rokid's recent progress and achievements in the field of AR developer ecology and digitalization, and announced a number of major cross-industry collaborations. As China's representative AR innovation force, Rokid is continuing to guide the comprehensive popularization of spatial computing in China, so that the next generation of consumer electronics can arrive early and ordinary people can experience and benefit from the power of technological innovation. Different from Apple’s VisionPro product line, the RokidARLite spatial computing suite released this time is based on OST optical perspective.
- AI 878 2024-04-21 08:00:15
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- CVPR 2024 high-scoring paper: New generative editing framework GenN2N, unifying NeRF conversion tasks
- The AIxiv column of our website is about academic and technical content. In the past few years, the AIxiv column on our website has received more than 2,000 pieces of content, covering top laboratories from major universities and companies around the world, helping to promote academic exchanges and dissemination. If you have excellent work that you want to share, please feel free to contribute or contact us for reporting. The submission email address is liyazhou@jiqizhixin.com; zhaoyunfeng@jiqizhixin.com. Researchers from the Hong Kong University of Science and Technology and Tsinghua University proposed "GenN2N", a unified generative NeRF-to-NeRF conversion framework suitable for various NeRF conversion tasks, such as text-driven NeRF editing.
- AI 1257 2024-04-19 21:40:09
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- GPT Store can't even open its doors. How dare this domestic platform take this path? ?
- Pay attention, this man has connected more than 1,000 large models, allowing you to plug in and switch seamlessly. Recently, a visual AI workflow has been launched: giving you an intuitive drag-and-drop interface, you can drag, pull, and drag to arrange your own workflow on an infinite canvas. As the saying goes, war costs speed, and Qubit heard that within 48 hours of this AIWorkflow going online, users had already configured personal workflows with more than 100 nodes. Without further ado, what I want to talk about today is Dify, an LLMOps company, and its CEO Zhang Luyu. Zhang Luyu is also the founder of Dify. Before joining the business, he had 11 years of experience in the Internet industry. I am engaged in product design, understand project management, and have some unique insights into SaaS. Later he
- AI 1460 2024-04-19 21:30:27
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- Ant Group and Zhejiang University jointly release OneKE, an open source large model knowledge extraction framework
- Recently, OneKE, a large model knowledge extraction framework jointly developed by Ant Group and Zhejiang University, was announced as open source and donated to the OpenKG open knowledge graph community. Knowledge graph is one of the key technologies to achieve trustworthiness and controllability of large models, and knowledge extraction can help build domain knowledge graphs. OneKE is committed to helping researchers and developers better handle issues such as information extraction, text data structuring, and knowledge graph construction. Extracting risk events, person entities, institutional entities, etc. through OneKE can clearly present the event context, event development trends, and correlations between entities. The well-constructed graph can help large models realize complex reasoning across entities and documents. OneKE supports Chinese and English bilingual, supports OpenSPG and DeepKE open source frameworks
- AI 1344 2024-04-19 21:20:01
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- Artificial Intelligence will transform the energy industry in three ways
- In 2024, artificial intelligence will play a role in improving customer experience and reducing carbon emissions. Although artificial intelligence has only started to become mainstream in 2023, it has been used in various industries for years to optimize and automate operations. In the energy sector, we are already seeing AI transform aspects such as predictive maintenance, grid management, and supply and demand forecasting. However, there is still huge value to be found in AI, particularly in improving customer experience and reducing carbon emissions. By 2024, we will see the application of artificial intelligence in this field become more widespread and intelligent, bringing us closer to unlocking the full potential of this technology. Here’s a look at some of the key ways artificial intelligence will transform the energy industry this year. 1. Customer service robots have become energy provider customers
- AI 1197 2024-04-19 18:22:12
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- AI everywhere: across the edge and sustainably
- The integration of artificial intelligence (AI) is everywhere, providing transformative opportunities across industries. One such paradigm shift is the convergence of artificial intelligence and edge computing, promoting sustainable solutions and innovative applications. Enterprises can leverage rapid advances in AI to enable hyper-personalization at scale in customer experience (CX) and predictive analytics to transform their services and operations to manage business operations. The convergence of AI, 5G and IoT 5G networks offer benefits such as: A massive increase in low-latency device connectivity, which in turn allows for scaling machines to enable machine communications The emergence of network-connected devices and sensors has led to large-scale hyper-personalized environments with Economics PwC has released a report setting out the potential of artificial intelligence to help reduce carbon emissions. According to its analysis, by 2030,
- AI 765 2024-04-19 17:37:27
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- End-to-end autonomous driving, multi-modal scene brain, new 3D interaction: SenseTime Jueying large model will be unveiled at the Beijing Auto Show
- SenseTime Jueying will bring the true end-to-end autonomous driving solution UniAD for mass production to the car for the first time. SenseTime Jueying creates a multi-modal scene brain "VisionPro" with keen insight, deep thinking, and efficient execution on the naked eye. For cars, SenseTime Jueying will demonstrate the world's first 3D high-precision line-of-sight interaction. In 2024, the Beijing International Automobile Exhibition will return with a bang from April 25 to May 4. As the first company in the industry to propose a general model for integrated autonomous driving with perception and decision-making, SenseTime Jueying will bring its first on-car demonstration of UniAD, a true end-to-end autonomous driving solution for mass production. At the same time, the AI large model cockpit product matrix with the multi-modal scene brain as the core and the new cockpit 3D interaction will also be displayed. Head
- AI 958 2024-04-19 16:10:01
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- How to use transformer to effectively correlate lidar-millimeter wave radar-visual features?
- One of the basic tasks for the author's personal understanding of autonomous driving is three-dimensional target detection, and many methods are now implemented based on multi-sensor fusion. So why is multi-sensor fusion needed? Whether it is lidar and camera fusion, or millimeter wave radar and camera fusion, the main purpose is to use the complementary connection between point clouds and images to improve the accuracy of target detection. . With the continuous application of Transformer architecture in the field of computer vision, attention mechanism-based methods have improved the accuracy of fusion between multiple sensors. The two papers shared are based on this architecture and propose novel fusion methods to make greater use of the useful information of their respective modalities and achieve better fusion. TransFusion: Main contribution
- AI 477 2024-04-19 16:01:24
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- How the cybersecurity field is embracing a new generation of artificial intelligence
- How the field of network security embraces a new generation of artificial intelligence GenAI is facing increasingly complex threats in the field of network security. The integration of GenAI in the field of cybersecurity heralds a new stage of defense mechanisms. GenAI’s ability to produce content and respond to specific alerts marks a transformative chapter in cybersecurity, full of promises and challenges. Let’s take a deeper look at how this powerful technology is reshaping the world of cybersecurity. In today’s digital environment, the emergence of generative AI marks a transformative phase in cybersecurity. GenAI represents a paradigm shift in artificial intelligence, enabling systems to create a variety of content based on specific prompts, from images and text to videos and more. This innovative technology builds on existing online work and documents
- AI 1220 2024-04-19 16:01:10
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- OpenAI offers new fine-tuning and customization options
- Fine-tuning plays a crucial role in building valuable AI tools. This process of refining pre-trained models using more targeted data sets allows users to greatly increase the model's understanding of professional connotations, allowing users to add ready-made knowledge to the model for specific tasks. While this process can take time, it's often three times more cost-effective than training a model from scratch. This value is reflected in OpenAI’s recent announcement of an expansion of its custom model program and various new features for its fine-tuning API. New features of self-service fine-tuning API OpenAI first announced the launch of a self-service fine-tuning API for GPT-3 in August 2023, and received an enthusiastic response from the AI community. According to an OpenAI report, thousands of
- AI 1099 2024-04-19 15:19:09
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- Five major development trends in the AEC/O industry in 2024
- AEC/O (Architecture, Engineering & Construction/Operation) refers to the comprehensive services that provide architectural design, engineering design, construction and operation in the construction industry. In 2024, the AEC/O industry faces changing challenges amid technological advancements. This year is expected to see the integration of advanced technologies, heralding a paradigm shift in design, construction and operations. In response to these changes, industries are redefining work processes, adjusting priorities, and enhancing collaboration to adapt to the needs of a rapidly changing world. The following five major trends in the AEC/O industry will become key themes in 2024, recommending it move towards a more integrated, responsive and sustainable future: integrated supply chain, smart manufacturing
- AI 1043 2024-04-19 14:50:21
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- Llama3 comes suddenly! The open source community is boiling again: the era of free access to GPT4-level models has arrived
- Llama3 is here! Just now, Meta’s official website was updated and the official announced Llama 38 billion and 70 billion parameter versions. And it is an open source SOTA after its launch: Meta official data shows that the Llama38B and 70B versions surpass all opponents in their respective parameter scales. The 8B model outperforms Gemma7B and Mistral7BInstruct on many benchmarks such as MMLU, GPQA, and HumanEval. The 70B model has surpassed the popular closed-source fried chicken Claude3Sonnet, and has gone back and forth with Google's GeminiPro1.5. As soon as the Huggingface link came out, the open source community became excited again. The sharp-eyed blind students also discovered immediately
- AI 1034 2024-04-19 12:43:01
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- Six quick ways to experience the newly released Llama 3!
- Last night Meta released the Llama38B and 70B models. The Llama3 instruction-tuned model is fine-tuned and optimized for dialogue/chat use cases and outperforms many existing open source chat models in common benchmarks. For example, Gemma7B and Mistral7B. The Llama+3 model improves data and scale and reaches new heights. It was trained on more than 15T tokens of data on two custom 24K GPU clusters recently released by Meta. This training dataset is 7 times larger than Llama2 and contains 4 times more code. This brings the capability of the Llama model to the current highest level, which supports text lengths of more than 8K, twice that of Llama2. under
- AI 686 2024-04-19 12:16:01
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- Boston Dynamics launches new version of humanoid robot Atlas, powered by pure electricity
- We have witnessed the birth of a new generation of humanoid robot Atlas. As soon as the video of the new robot came out, we immediately understood why Boston Dynamics retired the old version of Atlas that had been developed for more than ten years - a humanoid robot that should now have more flexibility than humans. The new robot integrates the most advanced machine learning technology and can autonomously learn to improve its own actions and reactions. All this shows that robotics technology is advancing rapidly, and future robots will be more flexible and intelligent. Lying calmly on the laboratory floor, the Atlas robot looks impressive. But suddenly the joints were reversed and he stood up, and the clever rotation of his legs effectively accomplished something that humans could not accomplish. This amazing transformation method allows robots to achieve things that humans cannot do
- AI 703 2024-04-19 11:46:01
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- Advanced analytics market will reach $161 billion by 2028
- The growth of the advanced analytics market is driven by multiple factors: Growing adoption of big data and related technologies: At the heart of the big data analytics revolution is the fact that as big data becomes more widely used, the approaches to these technologies are constantly changing. The accumulation of data in all walks of life has clearly become one of the most important factors that radically affects organizational behavior. On the one hand, this can be a considerable challenge; on the other hand, this data can be seen as an opportunity. One can clearly see customer behavior, market trends and operational metrics, especially when the market is saturated and demand is already known. The emergence of machine learning (ML) and artificial intelligence (AI): The joint development of machine learning and artificial intelligence means that the field of analytics is facing a revolution. Machine learning and artificial intelligence in advanced analytics apply to manufacturing
- AI 493 2024-04-19 08:34:29
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