Abstract: Acoustic signal classification in continual learning environments faces significant challenges, particularly due to catastrophic forgetting and the need for efficient memory utilization.

Limiting the amount of RAM used by the TCP/IP stack in embedded systems improves the device’s security and reliability.

Using the impressive learning representation capacity of large language models (LLMs), LLM-based video understanding methods have made significant strides recently. However, most existing methods ...