Over the years, artificial intelligence and blockchain technology have caused a stir in the technology community. These two technologies have been incorporated into our daily lives through applications such as cryptocurrencies, chatbots, personal assistance and robots. With these techniques …
Over the years, artificial intelligence and blockchain technology have caused a stir in the technology community. These two technologies have been incorporated into our daily lives through applications such as cryptocurrencies, chatbots, personal assistance and robots.
As these technologies mature, their convergence seems to bring the next big hope for the tech community. Artificial intelligence and blockchain can work together to improve the efficiency of self-driving cars, or they can help bitcoin mining. This combination can also add more safety, flexibility, autonomy and profitability to robot operation. When combining multiple robotic systems to complete challenging tasks, blockchain technology will be the ultimate help.
Quick blockchain entry
Blockchain is a distributed database technology that has had a huge impact on multiple industries, including banking and financial sectors, healthcare, retail, real estate, and real estate.
Some key advantages of blockchain include :
The blockchain database is completely tamper-resistant and immutable;
It provides a highly decentralized database;
It allows access to data through a distributed ledger system;
Blockchain ensures the best data transparency;
It provides the best data security and privacy.
Despite the promises and advantages of blockchain, there are still some challenges in using it in modern business models:
A blockchain with a decentralized database may bring challenges to existing systems, which may cause performance issues;
Interoperability with existing systems and databases is an issue;
Deployment can be very expensive and costly.
Legal issues and complexity regarding compliance and regulations.
About Artificial Intelligence
Artificial intelligence technology is designed to imitate human intelligence or provide a reasonable way to handle things, making decisions and performing tasks on its own. The intelligence of machines with cognitive capabilities to perform tasks has brought a paradigm shift in business.
The main functions of AI include :
Enhanced data management functions;
Data personalization;
Data-centric predictive analysis;
Reduce development errors;
Real-time or immediate assistance;
Data mining.
Despite the hype surrounding AI , some key challenges have prevented companies from deploying AI widely . These challenges include :
Lack of computing or data processing capabilities required for AI implementation;
Lack of talent for AI projects ;
Lack of trust in AI results.
Robotics, blockchain and artificial intelligence
Swarm robotics is seen as an area where the combination of blockchain and AI can benefit the technology. The field consists of several physical robots that work together in the form of ” cluster ” to perform tasks or operations. In this field, each robot has AI capabilities and can interact with the surrounding environment by following preset rules. When these robots are connected, their collective behavior and interaction capabilities will become powerful and highly scalable.
Blockchain and AI can be used to protect communication between groups of robots.
This technology is increasingly used in the medical transportation, precision agriculture and entertainment industries. Despite growing popularity, the security of these large applications has always been a concern. However, the complex information maze and the complex nature of swarm robotics make security a crucial challenge. This could be an area where blockchain technology provides a reliable solution.
By using advanced encryption technologies (such as encrypted digital signatures and encrypted secure public key encryption), the blockchain provides the best security for data across shared channels. The accessibility of information is controlled by specific private keys available to the robot. Although artificial intelligence-driven robotics has become the most cutting-edge technology, blockchain provides the best security solutions for robotics.
How does artificial intelligence create value for the blockchain?
To understand the intersection of AI and blockchain in the field of robotics, we must also understand the value these technologies provide. AI can solve many of the challenges that blockchain faces in a variety of ways, including:
Save energy: Data mining requires huge computing power, and AI can control energy consumption very effectively.
Scalability: AI can use the scalability of the blockchain to make way for decentralized learning and other processes.
Optimize security: Although the blockchain is highly secure and tamper-resistant, machine learning and deep learning technologies can work with the blockchain to make applications more secure.
Efficiency: AI can provide efficient use of resources to minimize the costs associated with the blockchain.
Hardware: Data miners using blockchain technology continue to invest in hardware. This situation is especially exacerbated by the use of specialized hardware components. Artificial intelligence can play a huge role in sourcing more efficient systems and functions.
Meeting talent needs: There are still very few experts and professionals working in the field of blockchain technology. As the talent gap widens and the demand for blockchain implementation grows steadily, AI- based virtual agents can play an important role in tasks, such as creating new ledgers themselves.
Data screening: Although more and more data is being used on the blockchain to make personal data and privacy vulnerable, AI- driven data screening and data gating can help monitor access to private data.
How does blockchain add value to AI ?
Blockchain can also add value to AI implementation. With a decentralized ledger system, blockchain can play an important role in enhancing AI systems, including:
Explain AI decision: Based on AI solutions are often unable to explain the reasons behind the decisions or take action. A blockchain database with data records can help explain the basic principles.
Improve AI efficiency: By protecting shared data streams, blockchain can help shape more efficient data models, data-centric actions, and data-driven insights.
Data market for all: Decentralized database systems aggregate multi-faceted data from all sources in a transparent, easy-to-access, and secure manner, paving the way for a data market accessible to everyone, including small businesses. With the democratization of the database, the amount of data from artificial intelligence systems continues to increase, which will provide more data functions for organizations and individuals.
Minimizing catastrophic risks: From weather reports to military data to mission-critical data related to certain activities, many are seeking secure access to the blockchain. AI combined with blockchain can further protect mission-critical data to provide alerts on any impending disaster.
The promise of the combined power of blockchain and artificial intelligence in the field of robotics is impressive, but many experiments are needed before we can see its full impact on swarm robotics and other advanced technologies.
