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Implementing Blockchain and AI to Swarm Robotics
The complex data management systems, requirements for predictive analysis, and instant access required for AI make for a suitable breeding ground for blockchain database technology.
FREMONT, CA: Blockchain and Artificial Intelligence (AI) have become buzzwords in every industry over the last few years. The two disruptive technologies have proved to be useful in increasing business productivity and improving business efficiency. The implementation of blockchain technology and AI in swarm robotics to robot technology is a relatively new concept. Despite the novelty of the idea, these technologies have slowly crept into our everyday lives. Consumers who deal with cryptocurrencies, chatbots, and responsive robotics are likely to have benefited from blockchain and AI, even without their knowledge. The combination of the two technologies opens a plethora of options for automation.
Blockchain is a distributed database technology that has had a significant impact on industries like finance, healthcare, and real estate. The technology has many advantages compared to other database technologies. Thanks to its decentralized nature, the technology is quite tamper-proof. Blockchain also offers superior security and privacy while still allowing for data transparency, making it a versatile tool for sharing information.
In many ways, blockchain and AI complement each other. AI aims to imitate human intelligence to help machines think and make informed decisions. The complex data management systems, requirements for predictive analysis, and instant access required for AI make for a suitable breeding ground for blockchain database technology. AI also adds significant value to the blockchain by lowering energy consumption, increasing scalability, and minimizing the costs associated with blockchain. At the same time, blockchain is capable of holding records needed to explain AI decisions, shape more data-efficient tools, and the decentralized nature offers an easily accessible store for AI systems.
Swarm robotics involves deploying individual AI-powered robots that can interact with both the environment and their fellow connected robots. A single robot that can perform a task by itself can improve efficiency, and a swarm of robots that all work together to complete a task can result in higher time and energy savings. Swarm robotics can be applied for various purposes in different industries like medical, agriculture, and entertainment. For instance, the pharmaceutical industry can use swarm robotics in nanorobotics and microbotics to perform procedures within the human body. Swarm robotics can also be applied in disaster rescue operations, mining, and agricultural harvesting.
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