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- Opening the smart cockpit AI era, NIO's NOMI GPT device-cloud multi-modal large model is officially launched
- On April 12, NIO announced that NOMIGPT had officially launched its push service. The update pushed this time is based on a new technical architecture, including NOMI intelligently creating a NOMIGPT end-cloud multi-modal large model. NOMIGPT includes self-developed multi-modal perception, self-developed cognitive center, emotion engine, and multi-expert Agent to achieve global connectivity of NIO products, services, and communities, and provide more efficient and enjoyable AI services. After NOMIGPT is upgraded, users can experience a number of new interactive experiences including large model encyclopedia, unlimited fun chats, magical atmosphere, fun emoticons, car Q&A, and AI scene generation, and enjoy a new travel empowered by Zhisheng AI. This NOMIGPT launch will be available simultaneously for models equipped with Banyan·Rong intelligent system.
- AI 477 2024-04-12 21:19:01
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- After the blessing of large models, are digital people 'more human'?
- Beijing Winter Olympics AI virtual human sign language anchor, Hangzhou Asian Games digital human ignition, Xinhua News Agency digital reporter, digital astronaut Xiaowei... As more and more digital humans appear in people's lives, the entire digital human race The industry is also developing towards diversified and extensive applications, rapidly expanding into different industries and scenarios. For the C-side, digital people help users produce content and auxiliary work, such as: digital people practice spoken language, play games with digital people, etc.; for the B-side, digital people are the "tool people" of enterprises and are used in finance, film and television, and television. commerce, live broadcast and other industries to improve industry production and operational efficiency. Digital people are a good business, but its large-scale implementation still faces difficulties in talent, cost, scenarios, technology, etc. Among them, the most critical one is the technical bottleneck, how to make digital
- AI 875 2024-04-12 19:04:10
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- Trajectory Prediction Series | What does the evolved version of HiVT QCNet talk about?
- An evolved version of HiVT (you can read this article directly without reading HiVT first), with greatly improved performance and efficiency. The article is also easy to read. [Trajectory Prediction Series] [Notes] HiVT: HierarchicalVectorTransformerforMulti-AgentMotionPrediction - Zhihu (zhihu.com) Original link: https://openaccess.thecvf.com/content/CVPR2023/papers/Zhou_Query-Centric_Trajectory_Prediction_CVPR_2023_paper
- AI 767 2024-04-12 18:28:21
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- Transparent! An in-depth analysis of the principles of major machine learning models!
- In layman’s terms, a machine learning model is a mathematical function that maps input data to a predicted output. More specifically, a machine learning model is a mathematical function that adjusts model parameters by learning from training data to minimize the error between the predicted output and the true label. There are many models in machine learning, such as logistic regression models, decision tree models, support vector machine models, etc. Each model has its applicable data types and problem types. At the same time, there are many commonalities between different models, or there is a hidden path for model evolution. Taking the connectionist perceptron as an example, by increasing the number of hidden layers of the perceptron, we can transform it into a deep neural network. If a kernel function is added to the perceptron, it can be converted into an SVM. this one
- AI 503 2024-04-12 17:55:32
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- How to design soft sensors through machine learning algorithms?
- By understanding the capabilities of machine learning algorithms, engineers can generate effective soft sensors for their applications. Soft sensor, also known as virtual sensor, is a software that can comprehensively process hundreds of measurement data. Factory managers looking to add soft sensors may be confused by the scope of machine learning that works with soft sensors. However, a deeper dive into the subject reveals that there are several core algorithms underlying most soft sensor designs. The selection, training, and implementation of these models is often the job of data scientists, but plant managers and other operations experts will also want to become familiar with their capabilities. Understanding Soft Sensors Soft sensors are created in a software environment but can provide the same benefits as their real-world counterparts. in a certain
- AI 903 2024-04-12 17:55:15
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- Gartner reveals key GenAI cybersecurity trends in 2024
- Organizations, governments, academics, and many others are exploring ways to harness the transformative power of GenAI technology. The majority of IT leaders (67%) will prioritize GenAI in the next 18 months. While there is great excitement about the prospects of GenAI, there are also concerns, including uncertainty about GenAI’s impact on cybersecurity on multiple fronts. To help us better understand the key trends in cybersecurity and enable us to make informed decisions to reduce cybersecurity risks, market research firm Gartner announced at the recent Gartner Security and Risk Management Summit Its cybersecurity predictions and recommendations. 2024 is expected to be another good year for GenAI, so Gartne
- AI 407 2024-04-12 17:49:30
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- How healthcare can leverage the full potential of cloud computing
- Five years ago, it was rare to hear of healthcare organizations moving their electronic health record systems to the cloud. While working for a healthcare provider, I was an early supporter of migrating Epic environments to the cloud. Although the evolution of EHRs in the cloud will take some time, more and more healthcare organizations are moving forward with the move. In recent years, collaborations between cloud providers and EHR vendors have helped increase the visibility of such projects. According to a 2023 PwC report, approximately 81% of healthcare leaders have adopted cloud across most or all of their operations. Most healthcare organizations are still at the beginning of their public cloud adoption journey. Many people may be familiar with software as a service, but they are still new when it comes to moving critical workloads to the public cloud. For those who have opened
- AI 634 2024-04-12 17:46:22
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- Understand Tokenization in one article!
- Language models reason about text, which is usually in the form of strings, but the input to the model can only be numbers, so the text needs to be converted into numerical form. Tokenization is a basic task of natural language processing. It can divide a continuous text sequence (such as sentences, paragraphs, etc.) into a character sequence (such as words, phrases, characters, punctuation, etc.) according to specific needs. The units in it Called a token or word. According to the specific process shown in the figure below, the text sentences are first divided into units, then the single elements are digitized (mapped into vectors), then these vectors are input to the model for encoding, and finally output to downstream tasks to further obtain the final result. Text segmentation can be divided into Toke according to the granularity of text segmentation.
- AI 607 2024-04-12 14:31:26
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- How to build an AI-oriented data governance system?
- In recent years, with the emergence of new technology models, the polishing of the value of application scenarios in various industries and the improvement of product effects due to the accumulation of massive data, artificial intelligence applications have radiated from fields such as consumption and the Internet to traditional industries such as manufacturing, energy, and electricity. The maturity of artificial intelligence technology and application in enterprises in various industries in the main links of economic production activities such as design, procurement, production, management, and sales is constantly improving, accelerating the implementation and coverage of artificial intelligence in all links, and gradually integrating it with the main business , in order to improve industrial status or optimize operating efficiency, and further expand its own advantages. The large-scale implementation of innovative applications of artificial intelligence technology has promoted the vigorous development of the big data intelligence market, and also injected market vitality into the underlying data governance services. With big data, cloud computing and computing
- AI 1094 2024-04-12 14:31:14
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- How does AI artificial intelligence promote digital transformation?
- It has been decades since artificial intelligence was proposed, but why has this technology experienced explosive growth only in recent years? This phenomenon is no accident. It is precisely thanks to the increasing maturity of digital technologies such as cloud computing, the Internet of Things, and big data that artificial intelligence has made substantial progress: cloud computing provides an open platform for artificial intelligence, and the Internet of Things ensures data security. Real-time sharing, and big data provides unlimited resources and algorithm support for deep learning. The integration of digital transformation of traditional enterprises and technologies in these fields has promoted the continuous upgrading of artificial intelligence technology, laying a solid foundation for its evolution from "intelligent perception" to "intelligent thinking" and "intelligent decision-making". Enterprises with strong digital innovation capabilities have an increasing influence on the market and consumers. Any digital transformation
- AI 730 2024-04-12 14:31:01
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- How to use AI to enhance energy visibility in buildings
- In the United States, approximately one-third of the energy used in buildings is wasted, costing as much as $150 billion annually. Today, more and more building facility managers are aware of this and want to identify every available asset to help control this cost. As we all know, artificial intelligence (AI) has become a powerful tool for industry leaders looking to improve energy efficiency. Coupled with zero building planning, advances in artificial intelligence set the stage for a transformative era in facilities management. Statistics from Data International Energy Occupation show that the construction industry accounts for up to 30% of global energy consumption, and optimizing energy consumption can help reduce the impact on the environment. Artificial intelligence helps managers make better, more informed, and more predictive decisions, thereby
- AI 490 2024-04-12 12:16:23
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- How AI and IoT are disrupting key industries
- Artificial intelligence (AI) and the Internet of Things (IoT) have already driven significant developments in industries such as manufacturing and banking respectively, but combined, the two technologies offer powerful opportunities across a wide range of industries. The Internet of Things has created a real-time communication network of interconnected devices and has become a multi-billion dollar industry. Statista estimates that its revenue will exceed $1.3 trillion by 2024. At the same time, artificial intelligence has experienced tremendous growth since the release of consumer-facing generative AI programs. Here's how some leading industries are using these technologies, and how industry leaders see this use evolving in the future. Insurance Currently, the role of artificial intelligence in the insurance sector is to improve efficiency and processing
- AI 442 2024-04-12 11:55:26
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- New ideas for LiDAR simulation | LidarDM: Helps generate 4D world, simulation killer~
- Original title: LidarDM: GenerativeLiDARSimulationinaGeneratedWorld Paper link: https://arxiv.org/pdf/2404.02903.pdf Code link: https://github.com/vzyrianov/lidardm Author affiliation: University of Illinois, Massachusetts Institute of Technology Paper idea: Introduction to this article LidarDM, a novel lidar generation model capable of producing realistic, layout-aware, physically believable, and temporally coherent lidar videos. LidarDM has two unprecedented capabilities in lidar generative modeling: (1)
- AI 710 2024-04-12 11:46:15
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- Key use cases for industrial connectivity in manufacturing
- In recent years, there has been increasing discussion of possibilities and potential such as smart factories and Industry 4.0, but the many benefits of these ambitious visions and strategies can now be realized by leveraging industrial connectivity. Industrial connectivity in manufacturing enables a variety of applications to increase efficiency, enhance production quality, enable real-time monitoring and control, and facilitate intelligent decision-making processes. Technologies such as smart manufacturing factories and Industry 4.0 have been widely discussed in recent years, but the many benefits of these ambitious visions and strategies that leverage industrial connectivity to break down the silos common in manufacturing are now achievable. In practice, several common use cases for providing standardized data access through industrial connectivity have had a significant impact on global manufacturing. Some of these possible key use cases include: Real-time data monitoring and analytics in manufacturing
- AI 839 2024-04-12 09:16:32
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- How IoT sensors and AI are revolutionizing smart buildings
- With the continuous development of smart technology, smart buildings have become a powerful force in today's construction industry. In the rise of smart buildings, Internet of Things (IoT) sensors and artificial intelligence (AI) have played a crucial role. Their combination is not just a simple technical application, but also a complete subversion of traditional building concepts, bringing us a more intelligent, efficient and comfortable building environment. Over the past few years, and especially in the wake of the COVID-19 pandemic, the challenges facing building management have increased and evolved as expectations for facilities managers have changed and viability needs have expanded. The shift to more integrated and flexible work environments within offices is also changing the way commercial buildings are used, requiring real-time visibility into building usage, occupant trends
- AI 1034 2024-04-12 09:10:15
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