AI Glossary

Algorithm

An algorithm is a step-by-step set of instructions that a computer follows to solve a problem or complete a task, forming the basis of all computer programs and AI systems.

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Explanation

Think of an algorithm as a recipe. It's a step-by-step set of instructions that a computer follows to solve a problem or complete a task.

Algorithms are the fundamental building blocks of all computer programs and AI systems. They tell the computer exactly what to do and in what order.

They can be simple, like adding two numbers together, or incredibly complex, like predicting the stock market.

Good algorithms are efficient, reliable, and produce the desired results every time. They are the secret sauce that makes computers so powerful.

Without algorithms, computers would be nothing more than fancy paperweights.

Examples

Consumer Example

Consider your journey from home to work.

Navigation apps such as Google Maps use algorithms to determine the quickest route, considering factors like traffic, road closures, and distance.

The app analyses various options and presents you with the optimal path, helping you reach your destination efficiently.

Business Example

Imagine a warehouse managing a vast inventory of products.

An algorithm can optimise the picking and packing process, determining the most efficient route for workers to collect items and prepare orders for shipment.

This can reduce labour costs, speed up delivery times, and improve overall operational efficiency.

Frequently Asked Questions

Algorithms are evaluated based on factors such as speed, accuracy, and resource consumption. The best algorithm is the one that delivers the desired results efficiently and reliably.
Yes, algorithms can be biased if the data they are trained on reflects existing biases. It's essential to carefully examine the data used to train algorithms and mitigate any potential biases.
Algorithms are continuously updated and improved through a process of testing, refinement, and optimisation. This ensures that they remain effective and adaptable to changing conditions.

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