Over the years, it has become clearer and clearer how the brain is a multiscale system that needs to be studied at different levels of organization as brain ...

We develop and engineer algorithms for fully dynamic graph problems-- efficiently maintaining solutions as edges and vertices are inserted and deleted. Developed at the Algorithm Engineering Group, ...

Visual servoing technology is an important direction for realizing the intelligence of robotic arms, which enhances the flexibility and robustness of robotic arms by introducing visual feedback ...

The fog computing paradigm is better for creating delay-sensitive applications in Internet of Things (IoT). As the fog devices are resource constrained, the deployment of diversified IoT applications ...

In the field of Artificial intelligence (AI), two significant approaches are widely recognized: search algorithms and machine learning (ML). While both contribute significantly to the advancement of ...

In contemporary daily life, data permeate various aspects and are generated in diverse formats. This includes activities such as searching for a file in a folder, communicating with family and friends ...

With the development of automobile intelligence, the security of the Internet of Vehicles has become a key factor that affects the development of intelligent vehicles. However, existing security risk ...

Abstract: Graphics processing units (GPUs) are widely used to accelerate data-intensive applications. To improve the performance of data-intensive applications, higher GPU memory bandwidth is ...

Abstract: Breadth First Search (BFS) is a key graph traversing algorithm for many graph analytics applications. In recent decades, as the scale of the graph analytics problem has become larger and ...

Pathfinding algorithm addresses the problem of finding the shortest path from source to destination and avoiding obstacles. One of the greatest challenges in the design of realistic Artificial ...