Edge AI

What’s Edge AI?

Much of AI is currently working in the cloud. Soon, however, AI will be able to run on devices such as cars and smartphones, thanks to Edge AI technology. We realize Edge AI with a unique technology that compresses AI models.

Differences between Cloud-processing AI and Edge-processing AI

Cloud-processing AI
Cloud-processing AI
  • Delayed performance (taking a long time to send and receive data)
  • Unreliable Network (E.g., cannot be used outside the service area)
  • High network bandwidth occupancy (heavy data)
Implementing AI
on
Edge devices
Edge-processing AI
Edge-processing AI
It’s unnecessary to connect with the cloud as AI can work on the edge device. Better real-time responses can be expected.

Benefits of Edge AI by “compressing” AI ​​models

Space-saving
AI can be mounted on smaller edge devices
Space-saving
Low-cost
Costs of hardware for AI inference can be reduced
Low-cost
Power-saving
Power consumption can be lessened as the number of calculations is decreased
Power-saving
High-speed
Not only is the data connection time skipped, but the amount of computation is reduced, enabling higher-speed operation
High-speed

Our Edge AI offerings

We have developed a patented Edge AI technology, which compresses an original AI model to 1/4-1/16 with comparable accuracy, and enables you to implement AI on automobiles or smartphones.
We are also developing “Pressai”, an application that automates AI compression.

Our Edge AI offerings Our Edge AI offerings

Advantages of Araya’s compression method

The neural network compression application incorporates Araya’s original compression method (patented).

The calculation amount can be reduced to 1/4 to 1/16 with comparable accuracy
Most neural networks can be compressed
Different neural networks can be implemented on the same dedicated hardware (FPGA).
You can combine with other compression methods (excluding pruning).

Benefits of the automated compression tool (“Pressai”)

  • Optimal compression
    You can compress an AI model with Ayara’s method as well as other compression methods (e.g., quantization, pruning), enabling you to compare results and choose the best model
  • Labor-saving
    Although you normally need several technicians that have different skill for each process (e.g., compression, implementation on CPUs and FPGAs), the app allows you to save that specialized personnel
  • Shortening development time
    The development time, which usually takes several months, can be shortened.
  • Secure
    You don’t need to export your data because you can conduct all the processes on your premises.