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Kairali AI Chip is a breakthrough innovation by Digital University Kerala that offers speed, power efficiency and scalability for various applications.
What is Kairali AI Chip?
Digital University Kerala has achieved a remarkable feat by designing the State’s first silicon-proven artificial intelligence (AI) chip, named Kairali AI Chip. This chip is a cutting-edge innovation that leverages edge intelligence (or edge AI) to deliver high performance and low power consumption for a wide range of applications.
Edge intelligence refers to the ability to store and process information from the sensory circuits with minimum power and latency, which reduces the dependency on cloud computations. Kairali AI Chip has been designed by a team of experts led by Dean (Academics) Alex P. James at the AI Chip Centre of the university.
Prof. James said that the development of Kairali AI Chip showcases the university’s excellence in technological research and its vision to shape the future with more such dedicated chips. He added that the chip has vast and varied potential applications that can impact several key industries.
How can Kairali AI Chip benefit various domains?
Some of the possible applications of Kairali AI Chip are:
- Agriculture: The chip can enable precision farming techniques by providing real-time monitoring of crop health, soil conditions and environmental factors. This can help in optimizing the use of resources and enhancing the crop yields.
- Mobile phone: The chip can improve the efficiency and performance of smartphones by enabling advanced features such as real-time language translation, enhanced image processing and AI-powered personal assistants.
- Aerospace: The chip can 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 the navigation and autonomous decision-making capabilities of drones, which are useful for applications such as delivery services and environmental monitoring.
- Automobile: 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 efficient facial recognition algorithms, threat detection and real-time analytics by using its edge computing capability.
Why is Kairali AI Chip a proud achievement for Kerala?
Kairali AI Chip is a breakthrough innovation that can revolutionize various domains with its edge intelligence. It is a proud achievement for Digital University Kerala and a testament to Kerala’s foray into exciting emergent technologies. The chip also demonstrates the State’s commitment to fostering a culture of innovation and excellence in the field of AI.
What is edge intelligence?
Edge intelligence is a term that refers to the combination of 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. Edge intelligence can provide faster and more efficient data processing while also protecting the privacy and security of both data and users.
Edge intelligence has many potential applications in a variety of fields, including agriculture, mobile phones, aerospace, automobiles, and security.
Who are some other players in the AI chip market?
The AI chip market is a highly competitive and dynamic sector, with many players vying for a share of the growing demand for AI-enabled applications. Some of the major players in the AI chip market are NVIDIA, Intel, AMD, Google, Huawei.
These are some of the prominent players in the AI chip market, but there are also many other companies, such as Apple, Samsung, Qualcomm, IBM, Microsoft, and Alibaba, that are involved in the AI chip industry, either by developing their own AI chips or by partnering with other AI chip providers.
The AI chip market is expected to grow rapidly in the coming years, as AI becomes more pervasive and ubiquitous in various domains and applications.
