Abstract: Integrating machine-learning (ML) models responsible for predicting the evolution of those directly collected or implicitly derived parameters enhances the smartness of industrial systems ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

OS-R1 is an agentic Linux kernel tuning framework that leverages reinforcement learning (RL) and large language models (LLMs) for efficient kernel configuration. It introduces a rule-based RL approach ...

Abstract: In recent years, deep learning techniques have substantially improved across numerous applications. However, these advancements come with the requirement for extensive human-labeled data, ...

Python NLP makes text summarization faster and easier for large documents. Extractive methods are more accurate, while abstractive methods are more readable. Hybrid summarization reduces errors and ...