Edge Artificial Intelligence

Introduction to Edge AI

100

What is Edge AI?

It is the practice of running AI algorithms directly on edge devices, rather than relying on cloud-based servers.

200

What are some types of Edge devices?

smartphone, IoT devices, cameras, and industrial machines

300

Name the three steps that drives Edge AI?

1. Data Collection

2.  Data Processing

3. Action 

Security concern

100

what is some security risk to consider when dealing with Edge AI?

•Data privacy concerns and potential breaches

 potential entry points for cyberattacks

200

What can be implemented to prevent attack from the internet?

 strong encryption

secure firmware updates

 authentication measures

 real-time threat detection should be implemented.

300

Challenges in Securing Edge AI?

•Limited resources on IoT devices

•Complexity of securing distributed AI models

•Increased exposure in mobile and UAV-based IoT systems

•Skills gaps in managing secure deployments

Random from all category

100

What is the abbreviation for Edge Artificial Intelligence?

Edge AI 

200

Name two technology that offers better security?

Confidential Computing

Trusted Execution Environments (TEEs)

300

Explain on of the steps or processes of Edge AI?

Collecting data: Edge AI-enabled devices collect real-world data using various sensors, such as:

• Cameras (for image/video processing)
• Microphones (for voice recognition

Processing data: Before AI models analyze data, the device processes it locally to:

• Remove noise or unnecessary information.
• Convert raw data into a usable format.
• Reduce data size to optimize model performance.

Acton/make decision: Based on the AI inference results. The device takes immediate action without needing cloud intervention.

• Some decisions trigger real-time responses, while others log data for later use