"Are AI models explainable in a way that humans can" Topic
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Tango01 | 28 Aug 2020 10:15 p.m. PST |
…understand them? "In recent years, artificial intelligence (AI) has gained widespread interest in academia and industry for providing groundbreaking solutions to difficult learning problems. For instance, algorithms for image and audio processing have been developed using deep learning that considerably improved upon previous state-of-the art methods like SVM or random forest. Further applications include the advent of self-driving cars, medical diagnosis systems, and game playing computers (AlphaGo). These success stories brought back the original spirit of AI, which was established as a field in 1965 with a dream to create thinking machines. The downside is that the computational methods underlying AI are not only complex in the sense that they are based on lengthy and nested computer code, but that the methods themselves are intricate with a network-based structure which can be lengthy and nested…" Main page link Amicalement Armand
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