Connect with us

TECHNOLOGY

How Blockchain & Artificial Intelligence Optimize the Functioning of Swarm Robots

Published

on

How Blockchain & Artificial Intelligence Optimize the Functioning of Swarm Robots


How Blockchain & Artificial Intelligence Optimize the Functioning of Swarm Robots

Artificial intelligence (AI) and blockchain provide endless possibilities.

Combing blockchain and artificial intelligence has enhanced the efficiencies of swarm robots through the installation of smart protocols to navigate past traditional challenges.

Swarm robots in today’s world have revolutionized different applications, be it in health, manufacturing, tourism, education, and different other fields. Their versatile characteristics make these robots an ideal choice for applications of the future. Robots have solved several traditional problems but are hindered by various issues like data security, unnamed navigation problems and communication between the swarm robots. To solve all these problems, blockchain and AI have been employed to make the operations more secure, flexible and even more profitable to run. The emerging technology helps in combining different algorithms and solving a majority of these issues.

No Requirement of Human Guidance

Swarm robots are becoming increasingly popular and are providing a cost-effective solution for day-to-day human requirements. A majority of robotic activities require some form of human supervision to function at their peak. But blockchain and AI form a strong cognizance and create a set of algorithms that devise complete autonomy to the robots. Blockchain stores massive blocks of data that guide robotic swarms to interpret data and use it across different applications. The nodes in the blockchain network keep track of the internal channels and execute their computations through mechanical and electronic functions.

Blockchain_Swarm_Robots.png

Consensus Protocol

Consensus has been a major problem prevailing amongst swarm robots. The problem can be divided into discrete or continuous problems. Discrete problems are formalized and require the swarm to agree to a set of finite choices. In continuous problems, the robots have to agree upon infinite choices creating an estimation problem. To achieve or predict an exact number in this protocol is not possible. With blockchain and AI technology, the sample size of the data can be shrunk to get an approximate consensus. Here the robots calculate an average based on its estimate and project it to its neighboring prodigies.

Advanced Security

An automated blockchain system naturally raises the risk of security and safety of the data against deception. Blockchains today store up to 250 GB of important information in their centralized storage. A secure data source can allow the swarm of robots to work efficiently across multiple channels. To ensure a consensus-protected algorithm, advanced encryption techniques have been used to safeguard these systems. The most common encryption techniques are digital cryptographic signatures and secure public key cryptography that forms the structure of a blockchain operation. These smart algorithms ensure that data is shared securely across the robotic channels. The highly secured data is assigned with public and private keys to one robot in the swarm. The public key projects foremost information available, while the private key identifies robots or personnel before initiating a communication line.

Advertisement

Conclusion 

Finding the best way to accomplish different tasks using a swarm of robots has been the biggest challenge in the market.

Swarm_Robots_AI.jpg

Blockchain and AI with smart contracts, versatile algorithms, game theory, and economic mechanisms provide the best solution to assign work to robotic swarms. The rapid improvement and development of blockchain technology will slowly develop the efficiency and functionality of swarm robots across different applications.



Source link

TECHNOLOGY

IDC predicts cloud infrastructure spending this year will hit $90.2B

Published

on

IDC predicts cloud infrastructure spending this year will hit $90.2B


IDC forecasts that cloud infrastructure spending will exceed $90 billion in 2022.

In Q1 2022, IDC found that spending on compute and storage infrastructure products for cloud deployments – including dedicated and shared environments – increased 17.2 percent year-over-year to $18.3 billion.

The firm’s analysts note the strong growth is despite “tight supply of some system components and disruptions in transportation networks.”

Dedicated cloud infrastructure spending increased an impressive 20.5 percent year-over-year in Q1 2022 to reach $5.9 billion. 47.8 percent of the infrastructure was deployed on-prem.

Spending on shared cloud infrastructure also continues to grow healthily with $12.5 billion spent in Q1 2022, a 15.7 percent year-over-year increase. IDC expects spending on shared cloud infrastructure to surpass non-cloud infrastructure for the first time in 2022.

Overall, IDC forecasts cloud infrastructure spending to grow 22 percent in 2022 compared to 2021 to hit $90.2 billion.

Long-term, the company expects spending on compute and storage cloud infrastructure will have a compound annual growth rate of 14.5 percent between 2021-2026 to reach $145.2 billion.

Advertisement

(Photo by Giorgio Trovato on Unsplash)

Want to learn more about the cloud from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Tags: , , , , , , , , ,



Source link

Continue Reading

DON'T MISS ANY IMPORTANT NEWS!
Subscribe To our Newsletter
We promise not to spam you. Unsubscribe at any time.
Invalid email address

Trending

en_USEnglish