This type of AI is one of the most common, as it’s used in chatbots, virtual assistants, and language translation software. Natural language processing (NLP) enables computers to understand and interpret human language. It’s a key part of the technology used in self-driving cars. Deep learning AI is used for tasks such as image and speech recognition, natural language processing, and for making predictions about the future based on data. A deep learning system looks at massive amounts of data and learns by spotting patterns. Image and speech recognition are examples of machine learning.ĭeep learning is a machine learning technique where layers of neural networks are used to process data and make decisions. Machine learning involves training a computer system to recognize patterns in data. It can also be used for analyzing large sets of fast-moving data to spot patterns and identify things like potential fraud. This type of AI is useful for solving mathematical equations or producing logical statements. Rule-based AI operates based on a set of predefined rules and logic. Here are a few terms you might hear in conversations about AI: AI can perform tasks that usually require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.

Today you're seeing it take center stage in Microsoft 365 thanks to Copilot, which works alongside you to unleash creativity and transform work.ĭefined simply, AI is the simulation of human intelligence by machines, especially computers. Artificial intelligence (AI) is increasingly becoming part of our lives and transforming the ways we live and work.

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