Description

Artificial intelligence has never been more powerful — or more difficult to trust. Beyond the Black Box reveals why the most capable AI systems of the next decade will not be built on neural networks alone, but on a radical combination of machine learning and classical logic that researchers call Neuro-Symbolic AI. Through clear explanations, real-world examples from medicine, law, and autonomous vehicles, and an honest look at what the technology can and cannot yet do, this book shows how the two oldest traditions in AI — learning from data and reasoning from rules — are finally being united. Whether you are a developer, a curious professional, or simply someone who wants to understand where AI is actually heading, this is the guide that cuts through the hype and explains the architecture of intelligent machines that can think, explain themselves, and be held accountable. The black box era of AI is ending — and what comes next is far more interesting.

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