Squid Game was once a sharp critique of capitalist excess. Now that Season 3 has arrived, the show feels like just another victim of it.

Most clustering algorithms require setting one or more parameters, which rely on prior knowledge or are constantly adjusted based on external indicators. To address the issues of requiring external ...

Six clustering algorithms—K-means, hierarchical, affinity propagation, self-organizing map (SOM), fuzzy C-means, and Gustafson-Kessel—were applied to determine the optimal number of clusters, which ...

Six clustering algorithms—K-means, hierarchical, affinity propagation, self-organizing map (SOM), fuzzy C-means, and Gustafson-Kessel—were applied to determine the optimal number of clusters, which ...

Examples of How Bias Can Impact AI Here’s one high-profile example of what bias can do to an algorithm. In March 2016, Microsoft released “Tay”, which was an AI powered “social chatbot.” ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of data clustering and anomaly detection using the DBSCAN (Density Based Spatial Clustering of Applications ...

New test results suggest Missouri did not see a cluster of bird flu cases, a possibility that some experts had feared.

Generally, clustering algorithms based on Adaptive Resonance Theory (ART) require the setting of data-dependent parameters such as similarity thresholds. Previous studies have shown that ...