The ML strategy of 'distributing coupons to customers with a high probability of purchase' may actually be harming company profits. Many companies have introduced machine learning and are now able to ...

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All generators share a common pipeline: generate → post-process → adversarial filter, ensuring synthetic data stays close to the real data distribution.

Machine learning is increasingly used as an efficient substitute for traditional data collection when the latter is challenging. For example, predictions of conditions such as poverty, deforestation, ...

Concerns about the ethics of the use of artificial intelligence by militaries have insufficiently addressed the differences between the methods (algorithms) that such software provides. These methods ...

In this paper we investigate the active inference framework as a means to enable autonomous behavior in artificial agents. Active inference is a theoretical framework underpinning the way organisms ...