


IDC executive: China's AI mobile phones will account for more than 50% in 2027
According to news on February 20, Huo Jinjie, president of IDC China, said at the OPPO AI strategy conference that large model technology will push mobile phones into the AI era, and the share of AI mobile phones in the Chinese market will account for more than 50% by 2027.
Huo Jinjie also said that the new generation of AI mobile phones will bring hardware upgrades and cost increases for storage, screens, and imaging equipment, which will further increase smartphone ASPs.
Currently, many mobile phone manufacturers have released large AI-related models and operating systems and applied them to new products to promote the development of AI strategies.
OPPO has been deeply involved in the field of AI for many years. As early as 2020, they launched their first large AI model and continue to invest. In 2023, OPPO's independently trained Andes large model is second only to GPT-4 in the Super CLUE knowledge and encyclopedia ability rankings, and ahead of all other large models.
OPPO founder and CEO Chen Mingyong previously said that the impact of AI on the mobile phone industry in the next five years will be comparable to that of when smartphones replaced feature phones.
The above is the detailed content of IDC executive: China's AI mobile phones will account for more than 50% in 2027. 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



Efficiently process 7 million records and create interactive maps with geospatial technology. This article explores how to efficiently process over 7 million records using Laravel and MySQL and convert them into interactive map visualizations. Initial challenge project requirements: Extract valuable insights using 7 million records in MySQL database. Many people first consider programming languages, but ignore the database itself: Can it meet the needs? Is data migration or structural adjustment required? Can MySQL withstand such a large data load? Preliminary analysis: Key filters and properties need to be identified. After analysis, it was found that only a few attributes were related to the solution. We verified the feasibility of the filter and set some restrictions to optimize the search. Map search based on city

There are many reasons why MySQL startup fails, and it can be diagnosed by checking the error log. Common causes include port conflicts (check port occupancy and modify configuration), permission issues (check service running user permissions), configuration file errors (check parameter settings), data directory corruption (restore data or rebuild table space), InnoDB table space issues (check ibdata1 files), plug-in loading failure (check error log). When solving problems, you should analyze them based on the error log, find the root cause of the problem, and develop the habit of backing up data regularly to prevent and solve problems.

The article introduces the operation of MySQL database. First, you need to install a MySQL client, such as MySQLWorkbench or command line client. 1. Use the mysql-uroot-p command to connect to the server and log in with the root account password; 2. Use CREATEDATABASE to create a database, and USE select a database; 3. Use CREATETABLE to create a table, define fields and data types; 4. Use INSERTINTO to insert data, query data, update data by UPDATE, and delete data by DELETE. Only by mastering these steps, learning to deal with common problems and optimizing database performance can you use MySQL efficiently.

Detailed explanation of database ACID attributes ACID attributes are a set of rules to ensure the reliability and consistency of database transactions. They define how database systems handle transactions, and ensure data integrity and accuracy even in case of system crashes, power interruptions, or multiple users concurrent access. ACID Attribute Overview Atomicity: A transaction is regarded as an indivisible unit. Any part fails, the entire transaction is rolled back, and the database does not retain any changes. For example, if a bank transfer is deducted from one account but not increased to another, the entire operation is revoked. begintransaction; updateaccountssetbalance=balance-100wh

The main reasons for MySQL installation failure are: 1. Permission issues, you need to run as an administrator or use the sudo command; 2. Dependencies are missing, and you need to install relevant development packages; 3. Port conflicts, you need to close the program that occupies port 3306 or modify the configuration file; 4. The installation package is corrupt, you need to download and verify the integrity; 5. The environment variable is incorrectly configured, and the environment variables must be correctly configured according to the operating system. Solve these problems and carefully check each step to successfully install MySQL.

Remote Senior Backend Engineer Job Vacant Company: Circle Location: Remote Office Job Type: Full-time Salary: $130,000-$140,000 Job Description Participate in the research and development of Circle mobile applications and public API-related features covering the entire software development lifecycle. Main responsibilities independently complete development work based on RubyonRails and collaborate with the React/Redux/Relay front-end team. Build core functionality and improvements for web applications and work closely with designers and leadership throughout the functional design process. Promote positive development processes and prioritize iteration speed. Requires more than 6 years of complex web application backend

MySQL can return JSON data. The JSON_EXTRACT function extracts field values. For complex queries, you can consider using the WHERE clause to filter JSON data, but pay attention to its performance impact. MySQL's support for JSON is constantly increasing, and it is recommended to pay attention to the latest version and features.

LaravelEloquent Model Retrieval: Easily obtaining database data EloquentORM provides a concise and easy-to-understand way to operate the database. This article will introduce various Eloquent model search techniques in detail to help you obtain data from the database efficiently. 1. Get all records. Use the all() method to get all records in the database table: useApp\Models\Post;$posts=Post::all(); This will return a collection. You can access data using foreach loop or other collection methods: foreach($postsas$post){echo$post->
