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The self-teaching ability of AI could have significant implications for global companies like Google and Tesla. It could lead to more efficient operations, as AI systems could learn and adapt to new situations, reducing the need for human intervention. This could result in cost savings and increased productivity. For Google, this could enhance their search algorithms, ad targeting, and other services. For Tesla, it could improve their autonomous driving technology. However, it also raises ethical and legal questions about responsibility and control, as well as potential job displacement.
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The way the AI teaches itself how to weight each input is called backpropagation. Developers give the AI training examples or inputs where the desired output is known. It creates predictions from this, and an error score is assigned to each output. The machine then rebalances itself backwards over time to learn the optimal weights to minimize errors and make more and more accurate predictions. And that's generally how AI works.
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Learn about the latest AI tools available in business, like AI video generators, audio, video game creation, and autonomous vehicles, a brief summary...
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