Artificial Intelligence on Devices: Build a smarter, faster and private app

Зображення до статті Artificial Intelligence on Devices: Build a smarter, faster and private app
Зображення до статті Artificial Intelligence on Devices: Build a smarter, faster and private app

On-Device AI processes AI computing locally, directly on your device, without connecting to the Internet and sending data to the cloud. In the article by Joas Pambu explains what on-Device AI is, why it is important, tools for creating this type of technology and how it can change our daily use of technology.

🚀 AI can perform tasks such as face recognition, understanding or cloning of language, analyzing big data and creating personalized use of personalized experiences, such as music playlists based on your auditory habits or training plans that meet your progress.

💡 where AI lives and works is of great importance. For example, cars that travel need AI to process data from cameras, sensors and other inputs to make decisions for the fate of seconds, such as obstruction or speed adjustment for sharp turns. If all these calculations depend on the cloud, problems with connection to the network can lead to delays in response or failure of the system. Therefore, AI should work directly in the car. This guarantees that the car corresponds to instantly without direct access to the Internet.

  • 📌 On -Device AI (Odai) means that AI does its work right where you are on your phone, cars, devices you wear, and so on - without real need to connect to a cloud or the Internet in some cases.
  • 📌 Embedded AI (EMAI), where intelligence is built into the device itself.
  • 📌 Edge AI refers to the launch of AI models directly on devices instead of depending on remote servers or clouds.
  • 📌 Cloud AI is when AI lives and depends on the cloud or remote servers.
  • 📌 Web AI are tools or apps that work in your browser or are part of websites or online platforms.
🧩 Summary: On -Device AI is primarily about privacy - storing your data safe and under your control. It processes everything directly on your device, avoiding the need to send personal data to external servers (cloud). So, what exactly makes this technology worth using?
🧠 Own considerations: Although the use of AI on the device has its advantages, such as preserving privacy and the ability to work in offline mode, it also has some restrictions. This includes limited computing resources, renewal delay and potential prejudice in learning data. Therefore, it is important to consider these factors when choosing between on-Device AI and Cloud AI.