Blog
artificial intelligence machine learning

Artificial Intelligence, Machine Learning and Neural Networks: Unraveling the Beam Portfolio Terms

AI and the Future of Fraud Detection in Digital Transactions

Beam Wallet is always at the forefront of technology, and terms like Artificial Intelligence (AI), machine learning (ML) models and neural networks are frequent in our channels and in the technology world in general. Although they may seem synonymous, each has a distinct meaning and a specific role in developing innovative solutions.

Artificial Intelligence (AI):

Artificial Intelligence is a broad concept that encompasses computer programs that simulate human cognitive functions such as learning, reasoning and problem solving. It also refers to the field of computer science dedicated to the study and development of these systems. AI is classified into three types, which reflect the stages of its evolution:

    • Narrow AI (ANI): Designed to perform specific tasks, such as facial recognition or language translation.
    • General AI (AGI): Capable of performing any intellectual task that a human can do.
    • Artificial Super Intelligence (ASI): Surpasses human intelligence in all areas.
Machine Learning (ML) Models:

A machine learning model is a computer program created using machine learning techniques. Unlike traditional programs, which follow predefined instructions, ML models learn from large amounts of data, identifying patterns and relationships. They are able to make predictions and make decisions based on these patterns.

artificial intelligence
Neural networks:

Neural networks are a specific type of ML model inspired by the workings of the human brain. They consist of interconnected units (artificial neurons) that transmit signals between themselves. Each connection has a weight that determines the signal strength, and these weights are adjusted during the network’s learning process.

Beam Wallet and the Application of AI

At Beam Wallet, we use artificial intelligence and machine learning to enhance the user experience and offer innovative features. For example, our ML algorithms can analyze spending patterns to provide personalized product and service recommendations, as well as identify suspicious transactions and protect your digital assets.

In Summary

  • Artificial Intelligence (AI): Field of computer science that studies and develops systems that simulate human intelligence.
  • Machine Learning Model (ML): Computer program that learns from data and makes predictions or decisions.
  • Neural Network: Type of ML model inspired by the human brain, with interconnected units that learn by adjusting connection weights.

Beam Wallet is committed to utilizing the power of AI and machine learning to bring you a safer, more personalized and efficient payment experience. We will continue to explore new ways to apply these technologies to improve our services and ensure you have access to the most advanced solutions on the market.