Data clustering remains an essential component of unsupervised learning, enabling the exploration and interpretation of complex datasets. The field has witnessed considerable advancements that address ...

From cars that are 71% less safe for women than men (because they’ve been designed using a 50th-percentile male dummy), to ...

Artificial intelligence has become a popular tool for job recruiters, in part because programmers can code applicant-screening algorithms to avoid any explicit discrimination in their decision-making ...

Ph.D student Austin P. Wright wins a best paper runner-up award at an international conference for an algorithm used on the Mars Perseverance Rover than can be used in applications in earth science ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Whether you’re trying to predict a climate catastrophe or mental health crisis, mathematics tells us to look for fluctuations. Changes in data, from wildlife population to anxiety levels, can be an ...

Last week, WIRED published a series of in-depth, data-driven stories about a problematic algorithm the Dutch city of Rotterdam deployed with the aim of rooting out benefits fraud. In partnership with ...

Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...

The internet isn't uniform; algorithms constantly pivot based on local laws and cultural habits. In South Korea, for example, ...

The Foundations of Data Structures and Algorithms specialization includes two optional preparation courses and a three-course pathway to earn admission to the Online MS in Computer Science. You must ...