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Synopsis
Artificial Intelligence in 2026 is defined primarily by Narrow AI, which excels at specific tasks rather than possessing human-like general intelligence. This is most visible through Computer Vision, which powers everything from facial recognition to autonomous delivery drones, and Natural Language Processing (NLP), which allows for fluid, human-like dialogue with our devices. In our daily routines, we interact with "Agentic AI"—systems that don't just answer questions but proactively manage our lives, such as smart thermostats that optimize energy based on learned habits or financial algorithms that monitor for fraud in milliseconds. However, as AI becomes more integrated, understanding Algorithmic Bias is crucial; because these systems learn from historical human data, they can inadvertently mirror and scale societal prejudices. Ultimately, the goal of modern AI is to handle "mundane" high-impact tasks, allowing technology to fade into the background while it optimizes our safety, convenience, and productivity.
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AI For Everyday Life (Paperback)
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Paperback. Condition: new. Paperback. Artificial Intelligence in 2026 is defined primarily by Narrow AI, which excels at specific tasks rather than possessing human-like general intelligence. This is most visible through Computer Vision, which powers everything from facial recognition to autonomous delivery drones, and Natural Language Processing (NLP), which allows for fluid, human-like dialogue with our devices. In our daily routines, we interact with "Agentic AI"-systems that don't just answer questions but proactively manage our lives, such as smart thermostats that optimize energy based on learned habits or financial algorithms that monitor for fraud in milliseconds. However, as AI becomes more integrated, understanding Algorithmic Bias is crucial; because these systems learn from historical human data, they can inadvertently mirror and scale societal prejudices. Ultimately, the goal of modern AI is to handle "mundane" high-impact tasks, allowing technology to fade into the background while it optimizes our safety, convenience, and productivity. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798249041397
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AI For Everyday Life: It define how to thrive in the age of automation
Print on DemandSeller: California Books, Miami, FL, U.S.A.
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AI For Everyday Life
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9798249041397
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AI For Everyday Life
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # L2-9798249041397
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AI For Everyday Life (Paperback)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
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Paperback. Condition: new. Paperback. Artificial Intelligence in 2026 is defined primarily by Narrow AI, which excels at specific tasks rather than possessing human-like general intelligence. This is most visible through Computer Vision, which powers everything from facial recognition to autonomous delivery drones, and Natural Language Processing (NLP), which allows for fluid, human-like dialogue with our devices. In our daily routines, we interact with "Agentic AI"-systems that don't just answer questions but proactively manage our lives, such as smart thermostats that optimize energy based on learned habits or financial algorithms that monitor for fraud in milliseconds. However, as AI becomes more integrated, understanding Algorithmic Bias is crucial; because these systems learn from historical human data, they can inadvertently mirror and scale societal prejudices. Ultimately, the goal of modern AI is to handle "mundane" high-impact tasks, allowing technology to fade into the background while it optimizes our safety, convenience, and productivity. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798249041397
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