Table of Contents
Able to reach 100,000 teenagers within three years
Only with AI literacy can you adapt to artificial intelligence Social
Home Technology peripherals AI Comprehensive interpretation of Amazon Cloud Technology: How to let students access AI education at a low threshold

Comprehensive interpretation of Amazon Cloud Technology: How to let students access AI education at a low threshold

Apr 11, 2023 pm 07:34 PM
AI machine learning

Comprehensive interpretation of Amazon Cloud Technology: How to let students access AI education at a low threshold

"In the next three years, we will provide relevant training to 100,000 Chinese teenagers and promote the development of youth artificial intelligence education."

This is the core goal of Amazon Cloud Technology’s 2023 Amazon DeepRacer China series of events. To this end, Amazon Cloud Technology announced a strategic cooperation with the Science and Technology Innovation Education Collaboration of the China Education Society and the Shanghai Artificial Intelligence Industry Association. With the Amazon DeepRacer artificial intelligence learning tool as the core, resources will be invested in four aspects: course development, teacher training, platform support, and competition promotion.

It is understood that Amazon DeepRacer is a 1/18 scale fully autonomous racing car launched by Amazon Cloud Technology in 2018, driven by reinforcement learning and a 3D racing simulator.

Gu Fan, general manager of the Strategic Business Development Department of Amazon Cloud Technology Greater China, said: "Although Amazon DeepRacer looks like a toy car, it is actually a very effective artificial intelligence teaching tool. No programming skills Or teenagers who are interested in mathematical modeling can easily get started, and the learning threshold is very low. The operator only needs to configure certain parameters to train the model, and then deploy it to the Amazon DeepRacer car. The camera on the car will judge the actual conditions of the track and use the training A good way to make judgments about driving direction and speed.”

Able to reach 100,000 teenagers within three years

It is reported that in 2023 Amazon Cloud Technology plans to hold events including for developers and The Amazon DeepRacer China League for machine learning enthusiasts, various DeepRacer industry leagues, corporate competitions and trainings for different industries and companies, and a series of activities for teenagers jointly organized with partners.

Gu Fan, general manager of the Strategic Business Development Department of Amazon Cloud Technology Greater China, said: "The core of our strategic cooperation with the Science and Technology Innovation Education Collaboration of the China Education Society and the Shanghai Artificial Intelligence Industry Association is to hope that in three years It can reach 100,000 teenagers within a year and expose them to artificial intelligence and machine learning. We hope that the three parties will contribute in curriculum design, teacher training, Amazon DeepRacer’s digital education platform, as well as competition promotion and organization to make everyone truly These four aspects of participating activities will work together to make the scale larger, reach more students, and let everyone have access to artificial intelligence at a lower threshold."

Only with AI literacy can you adapt to artificial intelligence Social

Regarding promoting the development of youth artificial intelligence education through the Amazon DeepRacer artificial intelligence learning tool, Zhong Junhao, secretary-general of the Shanghai Artificial Intelligence Industry Association, said: "In the current artificial intelligence education, the iteration speed of teaching materials and the skills of teachers The update speed is no longer enough to meet the needs of cultivating children facing high technology in the future. Today, artificial intelligence empowers all industries. It changes the order of human society, working methods and scientific research paradigms. It is the general education of the future. , not professional education. When young people are strong, China will be strong. We must start from the adolescent stage to cultivate their artificial intelligence literacy, use artificial intelligence thinking to see the future development of the entire society, and help them adapt to the future intelligent society."

"Amazon DeepRacer provides me with the motivation to continue to study in depth knowledge related to artificial intelligence and related majors." Zheng Haoyue, a student at Beijing Haidian Foreign Languages ​​Experimental School, said.

The above is the detailed content of Comprehensive interpretation of Amazon Cloud Technology: How to let students access AI education at a low threshold. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions 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 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

Seven Cool GenAI & LLM Technical Interview Questions 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

Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations 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

Five schools of machine learning you don't know about 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

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 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

SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time 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

SK Hynix will display new AI-related products on August 6: 12-layer HBM3E, 321-high NAND, etc. SK Hynix will display new AI-related products on August 6: 12-layer HBM3E, 321-high NAND, etc. Aug 01, 2024 pm 09:40 PM

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

See all articles