Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

Students continue to pursue postsecondary education—particularly Latino and Black students—and a growing share of those applicants are choosing to submit SAT and ACT scores even when institutions are ...

Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

Mikel Hernaez receives funding from the Spanish Ministry of Science, Innovation and Universities, the government of Navarra, the EU Department of Defence, the Carlos III Health Institute and the ...

Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect human lives. What Amsterdam’s welfare fraud algorithm taught me about fair ...

ABSTRACT: This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this ...

The National Academies will organize a symposium to discuss the applications of artificial intelligence (AI) and machine learning (ML) in the fields of radiation therapy, diagnostics, and occupational ...

If you’re applying to college this fall, you may have heard the term “comprehensive review.” It’s an approach that many schools, including the University of California, use to make admissions ...

Workers, frustrated by an extended cool-down in the white-collar job market, are applying to business school in numbers not seen in years. Applications to M.B.A. programs increased 12% in 2024, ...