The artificial intelligence industry chain includes
As the hottest technology in the current technology field, artificial intelligence has attracted the attention of many people inside and outside the industry.
However, the information we pay attention to every day is mostly the investment and financing market in the field of artificial intelligence, the dynamics of artificial intelligence unicorn companies, the layout of technology giants in the field of artificial intelligence, Technology research and development in the field of artificial intelligence, etc., rarely stop to sort out the artificial intelligence industry chain. However, if we want to pay more in-depth and long-term attention to artificial intelligence, we must first clearly sort out the artificial intelligence industry chain. (Recommended learning: web front-end video tutorial)
The artificial intelligence industry chain includes AI technology, underlying hardware (AI chips, visual sensors), application fields (smart homes, smart hardware , robots, autonomous driving, and industry applications), giving everyone a comprehensive and clear understanding of the artificial intelligence industry.
Artificial Intelligence Chip Manufacturer
NVIDIA: With its image processor with recognition and labeling functions, NVIDIA has taken the lead before the rise of artificial intelligence. Take control of this opportunity in one step. In 2016, Nvidia released a number of chips for deep learning, such as the Tesla P100 GPU released in April that can perform deep learning neural network tasks, and the deep learning chip based on Pascal architecture released in September. Tesla P4 and Tesla P40, among which, the Pascal architecture can accelerate deep learning by 65 times.
arm: 85% of the world’s smart mobile devices adopt the ARM architecture. Among them, more than 95% of smart phones use ARM processors. With the rapid development of smart hardware and the Internet of Things, ARM has Absolute status.
Intel: As the development momentum of artificial intelligence in the financial industry continues to grow, Intel will provide software and hardware support for the financial industry. After acquiring startup Nervana, Intel will release its latest application-specific integrated circuit (ASIC) called Lake Crest at a later date. This processor is optimized for deep learning - a technology inspired by the neural networks of the human brain that is the core of artificial intelligence. Intel plans to integrate Nervana technology with its Xeon processors in a project called Knights Crest. By 2020, its performance is expected to increase by 100 times.
Main Applications of Artificial Intelligence
Machine Vision
Megvii Technology: Megvii Technology Face is a company based on deep learning, An artificial intelligence company with computer vision as its core, it has world-leading intelligent algorithms, hardware technology, and industry solutions. With the two core products of artificial intelligence cloud services and intelligent interconnection, Megvii takes deep learning and IoT sensing technology as its core, and is based on its own original deep learning algorithm engine Brain. It is deeply involved in financial security, urban security, mobile AR, and commercial IoT. , the five core industries of industrial robots, are committed to providing enterprise-level users with world-leading artificial intelligence products and industry solutions.
Voice Recognition
SPEED: SPIC was founded in 2007 in the Cambridge High-tech Zone in the UK. The founders are all from Cambridge. In 2008, they returned to China and settled in Suzhou; they are the owners. Machine conversation technology, one of the few companies in the world with independent property rights, comprehensive Chinese and English speech technology (speech recognition, speech synthesis, natural language understanding, intelligent interactive decision-making, voiceprint recognition, gender and age recognition, emotion recognition, etc.). Its speech recognition, voiceprint recognition, spoken dialogue system and other technologies have repeatedly won championships in the evaluations of the National Bureau of Standards, the U.S. Department of Defense, and international research institutions. They represent the international cutting-edge level of technology and have been rated by the Chinese and British governments. high-tech enterprises.
INTELLIGENT ROBOT
Lingsheng Robot: Lingsheng Robot is an intelligent telephone sales and customer service interaction developed by Hangzhou Shengxun Network Technology Co., Ltd. based on natural language processing and other artificial intelligence technologies. The call system (AI traffic system) is different from the traditional call center or telemarketing system. Based on the call system, Lingsheng Robot adds speech recognition, human-computer interaction, semantic understanding and other technologies, replacing manual calls through intelligent outbound calls. Sales make phone calls to achieve the purpose of filtering and selecting potential customers. Telemarketing robots will replace 80% of repetitive labor and comprehensively improve sales efficiency.
Smart Home
QQ IoT: "QQ IoT Intelligent Hardware Open Platform" was released, integrating QQ account system and relationship chain, QQ message channel capabilities and other core capabilities , provided to partners in wearable devices, smart homes, smart vehicles, traditional hardware and other fields to achieve interconnection and interaction between users and devices and devices, and make full use of Tencent QQ's hundreds of millions of mobile clients and cloud services advantages, helping traditional industries realize Internetization on a larger scale.
The above is the detailed content of The artificial intelligence industry chain includes. For more information, please follow other related articles on the PHP Chinese website!
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
AI Hentai Generator
Generate AI Hentai for free.
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
1377
52
Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions
Jun 28, 2024 am 03:51 AM
This site reported on June 27 that Jianying is a video editing software developed by FaceMeng Technology, a subsidiary of ByteDance. It relies on the Douyin platform and basically produces short video content for users of the platform. It is compatible with iOS, Android, and Windows. , MacOS and other operating systems. Jianying officially announced the upgrade of its membership system and launched a new SVIP, which includes a variety of AI black technologies, such as intelligent translation, intelligent highlighting, intelligent packaging, digital human synthesis, etc. In terms of price, the monthly fee for clipping SVIP is 79 yuan, the annual fee is 599 yuan (note on this site: equivalent to 49.9 yuan per month), the continuous monthly subscription is 59 yuan per month, and the continuous annual subscription is 499 yuan per year (equivalent to 41.6 yuan per month) . In addition, the cut official also stated that in order to improve the user experience, those who have subscribed to the original VIP
Context-augmented AI coding assistant using Rag and Sem-Rag
Jun 10, 2024 am 11:08 AM
Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application
Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations
Jun 11, 2024 pm 03:57 PM
Large Language Models (LLMs) are trained on huge text databases, where they acquire large amounts of real-world knowledge. This knowledge is embedded into their parameters and can then be used when needed. The knowledge of these models is "reified" at the end of training. At the end of pre-training, the model actually stops learning. Align or fine-tune the model to learn how to leverage this knowledge and respond more naturally to user questions. But sometimes model knowledge is not enough, and although the model can access external content through RAG, it is considered beneficial to adapt the model to new domains through fine-tuning. This fine-tuning is performed using input from human annotators or other LLM creations, where the model encounters additional real-world knowledge and integrates it
Seven Cool GenAI & LLM Technical Interview Questions
Jun 07, 2024 am 10:06 AM
To learn more about AIGC, please visit: 51CTOAI.x Community https://www.51cto.com/aigc/Translator|Jingyan Reviewer|Chonglou is different from the traditional question bank that can be seen everywhere on the Internet. These questions It requires thinking outside the box. Large Language Models (LLMs) are increasingly important in the fields of data science, generative artificial intelligence (GenAI), and artificial intelligence. These complex algorithms enhance human skills and drive efficiency and innovation in many industries, becoming the key for companies to remain competitive. LLM has a wide range of applications. It can be used in fields such as natural language processing, text generation, speech recognition and recommendation systems. By learning from large amounts of data, LLM is able to generate text
To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework
Jul 25, 2024 am 06:42 AM
Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A
Five schools of machine learning you don't know about
Jun 05, 2024 pm 08:51 PM
Machine learning is an important branch of artificial intelligence that gives computers the ability to learn from data and improve their capabilities without being explicitly programmed. Machine learning has a wide range of applications in various fields, from image recognition and natural language processing to recommendation systems and fraud detection, and it is changing the way we live. There are many different methods and theories in the field of machine learning, among which the five most influential methods are called the "Five Schools of Machine Learning". The five major schools are the symbolic school, the connectionist school, the evolutionary school, the Bayesian school and the analogy school. 1. Symbolism, also known as symbolism, emphasizes the use of symbols for logical reasoning and expression of knowledge. This school of thought believes that learning is a process of reverse deduction, through existing
SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time
Jul 17, 2024 pm 06:37 PM
Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S
Laying out markets such as AI, GlobalFoundries acquires Tagore Technology's gallium nitride technology and related teams
Jul 15, 2024 pm 12:21 PM
According to news from this website on July 5, GlobalFoundries issued a press release on July 1 this year, announcing the acquisition of Tagore Technology’s power gallium nitride (GaN) technology and intellectual property portfolio, hoping to expand its market share in automobiles and the Internet of Things. and artificial intelligence data center application areas to explore higher efficiency and better performance. As technologies such as generative AI continue to develop in the digital world, gallium nitride (GaN) has become a key solution for sustainable and efficient power management, especially in data centers. This website quoted the official announcement that during this acquisition, Tagore Technology’s engineering team will join GLOBALFOUNDRIES to further develop gallium nitride technology. G