Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can use conditionals to divert the code execution through various routes (referred to as automated decision-making) and deduce valid inferences (referred to as automated reasoning).
Computer Science: Algorithms form the basis of computer programming and are used to solve problems ranging from simple sorting and searching to complex tasks such as artificial intelligence and machine learning.
Many algorithms have been developed for sorting data efficiently; these apply to structures residing in main memory and also to structures that constitute information systems and databases.
Read More As DeepSeek showed, clever software and algorithm design can dramatically reduce the number of AI chips needed. Rakesh Kumar, Fortune, 3 Dec. 2025 Duties include developing efficient algorithms, collaborating with product management and providing technical leadership.
Algorithms can instruct a computer how to perform a calculation, process data, or make a decision. The best way to understand an algorithm is to think of it as a recipe that guides you through a series of well-defined actions to achieve a specific goal.
Algorithms: What are They and How do They Work? Every digital tool we use — from search engines and social media to financial modeling and artificial intelligence — relies on algorithms.
In this article, you’ll see practical examples, learn the qualities that make an algorithm good and get simple ways to start writing and testing your own.
What are algorithms and why should you care? Explore two games that you could use an algorithm to solve more efficiently - the number guessing game and a route-finding game.
Algorithms work by following a set of instructions or rules to complete a task or solve a problem. They can be expressed as natural languages, programming languages, pseudocode, flowcharts and control tables.
Meaning of algorithms, providing a comprehensive understanding of their role in problem-solving across various fields. Discover examples and applications.