High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

Researchers have successfully used a quantum algorithm to solve a complex century-old mathematical problem long considered impossible for even the most powerful conventional supercomputers. The ...

HARRISON, N.J. — Mauricio Pochettino has been trying to solve what was a very real problem within the U.S. men’s national team. After March’s Nations League debacle, the flaws of this U.S. group were ...

A web-based Event Scheduling System that uses a Greedy Algorithm to schedule the maximum number of non-overlapping events across multiple venues. Built with Java (backend) and HTML/CSS/JS (frontend), ...

Abstract: Stochastic search algorithms are an effective method for solving the B-spline knot selection problem. Unfortunately, they often require a large number of (in this case, expensive) fitness ...

A key question in artificial intelligence is how often models go beyond just regurgitating and remixing what they have learned and produce truly novel ideas or insights. A new project from Google ...