This article explores the phenomenon of algorithm aversion, analyzing how familiarity impacts our judgment of errors made by ...

AI-powered coding agents are now real and usable, if not without their foibles. Here’s a brief look at the top prospects.

Dynamic and static integrated classification model of gas well based on XGBoost algorithm—an example from block S of Sulige tight sandstone gas field ...

An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, including the relevant legal issues and how to design algorithms to ...

In terms of intelligent driving, the adversarial example of an attack against traffic signs will cause the vehicle to make wrong judgments and decisions. However, the existing adversarial examples of ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Because people train algorithms on their decisions — for example, algorithms that make recommendations on e-commerce and social media sites — algorithms learn and codify human biases. Algorithmic ...

People are better able to see and correct biases in algorithms’ decisions than in their own decisions, even when algorithms are trained on their decisions.

Seam carving algorithm in C++. Contribute to DerKekk/SeamCarving development by creating an account on GitHub.

Some of the algorithms that attract the least attention are capable of inflicting the most harm—for example, algorithms that are woven into the fabric of government services and dictate whether ...