


OPPO Liu Zuohu: Mobile phones are the best carriers of AI, which will give them a smart soul
According to news on March 4, OPPO chief product officer Liu Zuohu said on his personal Weibo today that the question of whether AI phones are a gimmick or the future is easy to answer. AI must be the future.
Liu Zuohu said that there is no doubt that mobile phones are currently the most suitable carrier for AI technology. This chemical reaction fills our imagination, just like a point I made when sharing internally:
“In the past, applications gave mobile phones the name of intelligence, but in the future, AI will give mobile phones the soul of intelligence.”
He believes that the current AI has given everyone very clear application scenarios, and its practicality is innate; secondly, the current AI also shows an extremely fast update speed. This change speed Let all problems be solved only sooner or later;
Finally, the current AI focuses on vertical fields such as learning, education, and creation, and brings surprises to users that many previous technologies have not been able to provide. As mentioned above, AI is the future.
AI needs a carrier, and there is no doubt that the best carrier is the mobile phone, because the mobile phone has four conditions: 1. High penetration rate; 2. Strong computing power; 3. Interactive; 4. Application The scenes are rich.
Not long ago, OPPO announced its 1 N intelligent agent ecological strategy for the first time, with OPPO AI super agent and AI Pro agent development platform as the core components.
aims to meet the growing personalized needs of users for a new generation of smart service experience in the era of AI mobile phones, and work together to build an AI mobile phone ecosystem.
The above is the detailed content of OPPO Liu Zuohu: Mobile phones are the best carriers of AI, which will give them a smart soul. 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



The CentOS shutdown command is shutdown, and the syntax is shutdown [Options] Time [Information]. Options include: -h Stop the system immediately; -P Turn off the power after shutdown; -r restart; -t Waiting time. Times can be specified as immediate (now), minutes ( minutes), or a specific time (hh:mm). Added information can be displayed in system messages.

Complete Guide to Checking HDFS Configuration in CentOS Systems This article will guide you how to effectively check the configuration and running status of HDFS on CentOS systems. The following steps will help you fully understand the setup and operation of HDFS. Verify Hadoop environment variable: First, make sure the Hadoop environment variable is set correctly. In the terminal, execute the following command to verify that Hadoop is installed and configured correctly: hadoopversion Check HDFS configuration file: The core configuration file of HDFS is located in the /etc/hadoop/conf/ directory, where core-site.xml and hdfs-site.xml are crucial. use

Backup and Recovery Policy of GitLab under CentOS System In order to ensure data security and recoverability, GitLab on CentOS provides a variety of backup methods. This article will introduce several common backup methods, configuration parameters and recovery processes in detail to help you establish a complete GitLab backup and recovery strategy. 1. Manual backup Use the gitlab-rakegitlab:backup:create command to execute manual backup. This command backs up key information such as GitLab repository, database, users, user groups, keys, and permissions. The default backup file is stored in the /var/opt/gitlab/backups directory. You can modify /etc/gitlab

Enable PyTorch GPU acceleration on CentOS system requires the installation of CUDA, cuDNN and GPU versions of PyTorch. The following steps will guide you through the process: CUDA and cuDNN installation determine CUDA version compatibility: Use the nvidia-smi command to view the CUDA version supported by your NVIDIA graphics card. For example, your MX450 graphics card may support CUDA11.1 or higher. Download and install CUDAToolkit: Visit the official website of NVIDIACUDAToolkit and download and install the corresponding version according to the highest CUDA version supported by your graphics card. Install cuDNN library:

Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.

Installing MySQL on CentOS involves the following steps: Adding the appropriate MySQL yum source. Execute the yum install mysql-server command to install the MySQL server. Use the mysql_secure_installation command to make security settings, such as setting the root user password. Customize the MySQL configuration file as needed. Tune MySQL parameters and optimize databases for performance.

A complete guide to viewing GitLab logs under CentOS system This article will guide you how to view various GitLab logs in CentOS system, including main logs, exception logs, and other related logs. Please note that the log file path may vary depending on the GitLab version and installation method. If the following path does not exist, please check the GitLab installation directory and configuration files. 1. View the main GitLab log Use the following command to view the main log file of the GitLabRails application: Command: sudocat/var/log/gitlab/gitlab-rails/production.log This command will display product

When installing PyTorch on CentOS system, you need to carefully select the appropriate version and consider the following key factors: 1. System environment compatibility: Operating system: It is recommended to use CentOS7 or higher. CUDA and cuDNN:PyTorch version and CUDA version are closely related. For example, PyTorch1.9.0 requires CUDA11.1, while PyTorch2.0.1 requires CUDA11.3. The cuDNN version must also match the CUDA version. Before selecting the PyTorch version, be sure to confirm that compatible CUDA and cuDNN versions have been installed. Python version: PyTorch official branch
