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How do we build algorithms for agent interactions with human adversaries?
Gamalon uses a technique that it calls Bayesian program synthesis to build algorithms capable of learning from fewer examples.
Following this we build algorithms that decide the acceptance problem without requiring explicit enumeration of all extensions.
The objective of this paper therefore is to investigate how to build algorithms for agent interactions with human adversaries.
And companies are even starting to leverage huge quantities of text exchanges to build algorithms capable of having conversations with customers.
Even tech giants such as Facebook have struggled to build algorithms that can tell the difference between a harmless comment and hate speech.
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"We've built algorithms that learn from the ground up".
The company built algorithms and started scrubbing social media to assess consumers.
The team built algorithms tied to patients' movements and even conducted tests in the homes of researchers' elderly parents.
Algosurg has built algorithms to simulate surgeries.
Or more specifically, they've built algorithms with a "formidable amount of human effort," that are doing that for them.
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