Kairali AI Chip

Context: 

The Kairali AI Chip is the State’s first silicon-proven AI Chip designed by Digital University Kerala, that offers speed, power efficiency and scalability for various applications.

What is a Kairali AI Chip?

  • Use of Edge Intelligence: This cutting-edge chip innovation leverages edge intelligence to deliver high performance and low power consumption for various applications.
  • Faster Loading Operations: It will facilitate  the complete storage and processing of information from the sensory circuits with minimum power and latency, which helps in offloading cloud computations.

Potential Application of Kairali AI Chip

  • Agriculture Sector: It can revolutionize precision farming techniques.
    • It will help track real-time crop health monitoring, soil conditions and environmental factors.
    • It will make more efficient use of resources and better crop yields.
  • Communication and IT Sector: It will enhance the efficiency and performance of smartphones.
    • It can also enable advanced features like real-time language translation, enhanced image processing and AI-powered personal assistants.
  • Aerospace Industry: It will augment the capabilities of unmanned aerial vehicles (UAVs) and satellites by providing advanced processing power for navigation, data collection and real-time decision-making, all with minimal power consumption.
    • The chip can also enhance drones’ navigation and autonomous decision-making capabilities, useful for delivery services and environmental monitoring applications.
  • Automobile Industry: The chip can be a game-changer for autonomous vehicles by providing the necessary computing power for real-time processing of sensory information, which is essential for safe and efficient autonomous driving.
  • Security and Surveillance: The chip can enable faster and more efficient facial recognition algorithms, threat detection and real-time analytics using its edge computing capability.

About Edge intelligence:

  • It refers to combining AI and edge computing
  • It entails deploying machine learning algorithms on the edge device where the data is generated, rather than relying on cloud computing.

Features: 

  • It can provide faster and more efficient data processing while protecting the privacy and security of data and users.


Also Read: Miniature Nuclear Battery

News Source: The Hindu

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