Background Biomechanical studies have shown that female athletes have significantly increased dynamic knee valgus during drop landing and cutting tasks. However, the relationship between static leg ...

Google DeepMind and Intrinsic developed AI that uses graph neural networks and reinforcement learning to automate multi-robot ...

A technique for finding MINSUM and MINMAX solutions to multi-criteria decision problems, called Multi Objective Dynamic Programming, capable of handling a wide range of linear, nonlinear, ...

For instance, Bayesian updating (a method that revises probabilities based on new evidence) can incorporate new data into climate measures, providing a dynamic view of a company’s net-zero alignment.

The previous article in this issue dealt with the general principles of Dynamic Programming. In this article Professor Lindley shows how Dynamic Programming links up with certain decision problems in ...

Signal processing is where SICK’s LiDAR quietly earns its keep. Multi-echo and HDDM work together to keep distance readings steady in clutter, rain, and glare. It’s not flashy, but when the floor is ...