Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.
Why is artificial intelligence important?
AI automates repetitive learning and discovery through data.
AI adds intelligence to existing products.
AI adapts through progressive learning algorithms to let the data do the programming.
AI analyzes more and deeper data using neural networks that have many hidden layers.
AI achieves incredible accuracy though deep neural networks.
AI gets the most out of data.
How Artificial Intelligence Works
AI works by combining large amounts of data with fast, iterative processing and intelligent algorithms, allowing the software to learn automatically from patterns or features in the data. AI is a broad field of study that includes many theories, methods and technologies, as well as the following major subfields: