High power density power-supply modules based on gallium nitride (GaN) devices are core components in the automotive, industrial and data-center sectors. As their integration level and power density ...

Quantum algorithms for thermodynamic simulation seek to harness the unique capabilities of quantum processors to model the equilibrium and dynamical properties of many-body systems at finite ...

Quantum technologies like quantum computers are built from quantum materials. These types of materials exhibit quantum properties when exposed to the right conditions. Curiously, engineers can also ...

This grid-based representation is essentially a graph structure. Each walkable cell is a node, and it connects to its four immediate neighbors (up, down, left, right). This is the same underlying data ...

In this section, we present fundamental definitions of multi-agent pathfinding. Since our method is dimensionindependent, the provided definitions apply to any-dimensional grid space CN .

In this section, we provide an overview of existing works aimed at reducing the time cost of MAPF methods. MAPF methods typically involve searching for paths connecting the starting and target ...

Abstract: Pathfinding is widely applied when encountering autonomous driving, mobile robot pathfinding, and so on. Traditional pathfinding algorithms have certain limitations such as high ...

Shortest path algorithms sit at the heart of modern graph theory and many of the systems that move people, data, and goods around the world. After nearly seventy years of relying on the same classic ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...