Researchers from Johns Hopkins APL and Johns Hopkins University have developed a practical, comprehensive noise-modeling ...

A recent study published in the Journal of Cultural Economics suggests that highly accurate content recommendation algorithms ...

From the corner office, the decision whether or not to implement artificial intelligence looks like a no-brainer. On the warehouse floor, however, the view is far different.

Combining the creativity of artificial intelligence with the rigor of formal specification methods and the power of formal ...

Abstract: This study addresses the optimal control problem for discrete-time nonlinear systems with fixed initial state. A fast policy iteration $(\text{PI})$ algorithm is developed to compute the ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Algorithms, examples and tests for denoising, deblurring, zooming, dequantization and compressive imaging with total variation (TV) and second-order total generalized variation (TGV) regularization.

Abstract: In this paper, we develop a data-driven iterative adaptive dynamic programming algorithm to learn offline the approximate optimal control of unknown discrete-time nonlinear systems. We do ...