⭐ Our work is the first to explore in-context learning in 3D point clouds, including task definition, benchmark, and baseline models. The first work to explore the application of in-context learning ...

Abstract: Learning-based control methods for industrial processes leverage the repetitive nature of the underlying process to learn optimal inputs for the system. While many works focus on linear ...

Purdue University's online master's in Artificial Intelligence will mold the next generation of AI experts and engineers to help meet unprecedented industry demand for skilled employees. The ...

Learning to program in C on an online platform can provide structured learning and a certification to show along with your resume. Learning C can still be useful in 2026, especially if you want to ...

Abstract: dynamic flexible job shop scheduling (DFJSS) is a critical combinatorial optimization problem known for its dynamic nature and flexibility of machines. Traditional scheduling methods face ...