The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic ...

Abstract: This paper focuses on the fault-tolerant consensus problem of multi-agent systems under an encoding-decoding framework with Markovian switching topologies. Due to the influence of complex ...

Discover how generative AI is transforming video communication in a groundbreaking new paradigm. Learn about the innovative ...

Speculative decoding is a widely adopted technique for accelerating inference in large language models (LLMs), yet its application to vision-language models (VLMs) remains underexplored, with existing ...

Objectives We aim to use an agent-based model to accurately predict the spread of COVID-19 within multiple US state prisons. Design We developed a semistochastic transmission model of COVID-19.

Abstract: The impedance network (IN) model is gaining popularity in the oscillation analysis of wind farms. However, the construction of such an IN model requires impedance curves of each wind turbine ...

The vintage car investment has become not just a niche passion way to spend time, but it is a globally acknowledged alternative asset class that attracts all types of collectors, investors, and ...