Artificial Intelligence: How AI Works

Artificial intelligence (AI) in 2026 is categorized into systems that generate and reason with information, like language models, and those that perceive and act on the physical world, such as computer vision and robotics, with many applications combining these capabilities. AI development relies heavily on machine learning, where models learn from data rather than manually programmed rules, making them effective for specialized tasks like detecting defects or predicting equipment failures. While current AI systems are considered narrow in scope, focusing on specific tasks, the concept of Artificial General Intelligence (AGI) remains hypothetical, sparking ongoing debate among researchers. The development of modern AI began long before computers, with milestones like IBM's Deep Blue and Watson marking significant advancements, and contemporary AI increasingly focuses on smaller and more efficient models deployed across various systems. AI's real-world applications span manufacturing, healthcare, agriculture, logistics, and retail, using generative and vision AI to transform data into tangible outcomes, while challenges like data privacy and governance are addressed through regulations like the EU AI Act and frameworks like the NIST AI Risk Management Framework.

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