Abstract: Recently, computing-in-memory (CIM) macros, originally designed to reduce the intensive memory accesses of Al tasks, have been employed in low-power machine learning SoCs due to their ...

This course introduces participants to ways they can improve their time management skills by reducing time wasting behaviors and thinking patterns, and increasing organization. Participants will ...

Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...

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Abstract: The use of deep learning (DL) for channel state information (CSI) feedback has garnered widespread attention across academia and industry. The mainstream DL architectures, for example, ...

Small-Text provides state-of-the-art Active Learning for Text Classification. Several pre-implemented Query Strategies, Initialization Strategies, and Stopping Criteria are provided, which can be ...