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Basic Concepts in Algorithms focuses on paradigms and methods combining basic programming constructs as building blocks and shows their usefulness in the derivation of algorithms. The coverage of ...
Machine learning and traditional algorithms are “two substantially different ways of computing, and algorithms with predictions is a way to bridge the two,” said Piotr Indyk, a computer scientist at ...
Yes, “algorithms” can be biased. Here’s why Op-ed: a computer scientist weighs in on the downsides of AI.
Putting this all together, automated fact checking and contextualization algorithms have a lot of potential, but instead of relying on simplistic machine learning algorithms, their creators need ...
As our artificial intelligence algorithms continue to struggle with metacognition and causal inference, it is essential that we feed them the right data.
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