To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Partial differential equations are central to describing many physical phenomena. In many applications, these phenomena are observed through a sensor network, with the aim of inferring their ...

Measured against that, the Kakeya conjecture – a problem stemming from a 1917 thought experiment by Japanese mathematician ...

In 1979, Hounsfield won the Nobel Prize in Physiology or Medicine for his role in the development of computer-assisted ...

PDF for mathematics from the official Punjab Board website. Access chapter-wise details for mathematics with the link to ...

Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, ...

Mastering mathematical symbols is essential for success in various fields, from science to technology. The article breaks ...

Learning-based methods have been widely applied to solve electromagnetic (EM) inverse scattering problems (ISPs). In learning-based induced current inversions, the deterministic part of the induced ...

From modular mobile robots with distributed computation, to a simple robotic arm, this package provides control for (multi-)limbed systems. The goal of the project is maximum flexibility to reflect ...

Not just WFC. Addon contains a generic implementation of a solver capable of solving subclass of constraint satisfaction problems on top of which a WFC implementation is built. This generic solver can ...