As the computing paradigm shifts from cloud computing to end-edge-cloud computing, it
also supports artificial intelligence evolving from a centralized manner to a distributed one …

Optoelectronic synaptic devices that mimic biological synapses are critical building blocks of
artificial neural networks (ANN) based on optoelectronic integration. Here it is shown that an …

Large language models (LLMs) have received considerable attention recently due to their
outstanding comprehension and reasoning capabilities, leading to great progress in many …

In the autonomous driving era, high-definition (HD) maps are an essential building block to
enable fine-grained environmental perception, precise localization, and path planning …

Due to the over-parameterization of neural networks, many model compression methods
based on pruning and quantization have emerged. They are remarkable in reducing the …

In vehicular edge computing (VEC), where vehicles offload their tasks to nearby edge
clouds, it is not a trivial issue to design an optimal task offloading policy due to the dynamic …

Abstract A Command Governor (CG) is an optimization-based add-on scheme to a nominal
closed-loop system. It is used to enforce state and control constraints by modifying reference …

Embodied vision-based real-world systems, such as mobile robots, require a careful
balance between energy consumption, compute latency, and safety constraints to optimize …

Connected autonomous vehicles can leverage communication and artificial intelligence
technologies to effectively overcome the perceived limitations of individuals and enhance …

Organic small molecule memristors show great potential in the application of low-energy
neuromorphic computing such as artificial synapses. In this study, based on the small …