


Artificial intelligence career enlightenment, planting the seeds of 'AI dream'
Artificial intelligence career enlightenment, planting the seeds of "AI dream"
In order to enhance the attractiveness of vocational education, enhance professional cognition and professional awareness in primary and secondary education, and demonstrate the charm of new generation information technologies such as artificial intelligence, on September 26, teachers from the Henan Higher Education Teaching Reform Research and Practice Project Team They walked into the Nantai Road Campus of Nanyang Experimental School and brought a unique artificial intelligence journey to the children here, leading them to understand artificial intelligence technology and feel the charm of vocational education.
During the activity, teacher Li Jiangdai used popular science animations, science fiction movie clips, etc. to popularize the definition and development of artificial intelligence technology to the students, explained the development process of robots, and demonstrated robot control technology, which aroused the strong interest of the children. .
Teacher Li Qiaojun led the children to experience the operation of the robot. Through a series of interesting operations such as greeting each other, dancing to welcome, color testing, face recognition, falling and standing up, etc., it deeply attracted the children's attention and made the children Feeling the wonder of artificial intelligence, they felt the magic and charm of technology through hands-on practical operations. The atmosphere was lively, and the campus was filled with laughter and exclamations.
After the experience activity, the children expressed that they were very happy to participate in this enlightenment activity on the application of artificial intelligence technology. They learned a lot about artificial intelligence and hoped that they could become useful technical talents to society when they grow up. Contribute your own strength to the country.
This artificial intelligence enlightenment event was brilliant. It was not only a collision of sparks of innovation and growth, but also a scientific and practical enlightenment of preaching, solving doubts, and building dreams with science and technology. Henan Higher Education Teaching Reform Research and Practice Project "Research and Practice on Vocational Enlightenment and Vocational Experience Education Model in Higher Vocational Colleges under the Background of Skill-based Society Construction" team members carefully designed labor and vocational enlightenment education project courses suitable for the development of primary and secondary school students, and guided The vocational cognition and vocational experience of primary and secondary school students play an important and fundamental role in helping students establish a sense of lifelong learning and construct an education system for lifelong skill growth. The rapid development of vocational education has cultivated a large number of skilled talents, which has contributed to the promotion of economic and social development. and made important contributions to promoting employment.
In future work, the Henan Provincial Artificial Intelligence Technology Application Vocational Enlightenment and Career Experience Base will further carry out career experience activities for primary and secondary schools, and integrate learning with primary and secondary school students through activities such as base teaching, sending classes to school, and career experience weeks. In terms of the future relationship between work and life, technical skills education, labor education, and vocational enlightenment education will be deeply integrated in the primary and secondary education stages, and the spirit of model workers and craftsmanship will be promoted. Explore the vocational enlightenment and vocational experience education model in higher vocational colleges under the background of building a skill-based society, continue to optimize the "modular advanced" curriculum system, create a professional and composite teaching team, improve the vocational enlightenment and vocational experience quality assurance mechanism, and promote Different levels of education are connected vertically to cultivate applied technical skills talents, enhance the social influence and radiation effect of vocational education, and empower the construction of Nanyang sub-central city. (Correspondent Lian Han)
The above is the detailed content of Artificial intelligence career enlightenment, planting the seeds of 'AI dream'. 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

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

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

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

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

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

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

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

According to news from this site on August 1, SK Hynix released a blog post today (August 1), announcing that it will attend the Global Semiconductor Memory Summit FMS2024 to be held in Santa Clara, California, USA from August 6 to 8, showcasing many new technologies. generation product. Introduction to the Future Memory and Storage Summit (FutureMemoryandStorage), formerly the Flash Memory Summit (FlashMemorySummit) mainly for NAND suppliers, in the context of increasing attention to artificial intelligence technology, this year was renamed the Future Memory and Storage Summit (FutureMemoryandStorage) to invite DRAM and storage vendors and many more players. New product SK hynix launched last year
