<ul data-eligibleForWebStory="false"><li>AI is based on pattern recognition and improves with sufficient data to learn from.</li><li>Neural networks, the building blocks of AI, function like interconnected nodes that process data through layers for analysis and output.</li><li>AI 'learns' through trial and error, adjusting connections between nodes when making mistakes to improve pattern recognition.</li><li>By 2030, AI deep learning models may have access to extensive internet data, allowing them to validate information and recognize a wide range of objects.</li></ul>

What’s under the hood of the AI engine, and why is it important to understand its power?

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