A high-performance image compression algorithm is crucial for real-time information transmission across numerous fields. Despite rapid progress in image compression, computational inefficiency and ...
Abstract: The adoption of artificial intelligence models (e.g., DNN models) in internet of things has boosted computing demands in edge computing. Frequent model retraining, necessitated by concept ...
AI models have a memory problem. The longer they run, the more tokens pile up from documents, reasoning traces, and conversation history. All that accumulated context demands more compute and more ...
Spring Framework 7.0 retains a JDK 17 baseline while at the same time recommending JDK 25 as the latest LTS release. It also introduces a Jakarta EE 11 baseline and embraces Kotlin 2.2 as well as ...
Abstract: To implement deep learning models on edge devices, model compression methods have been widely recognized as useful. However, it remains unclear which model compression methods are effective ...
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