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Stop crashing your Python scripts: How Zarr handles massive arrays

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.
IEEE

Network Slicing with Centralized and Distributed Reinforcement Learning for Combined Satellite/Ground Networks in a 6G Environment

Abstract: For the goals of beyond 5G and 6G networks, it is essential to maintain access everywhere and offer low latency with high reliability. To achieve such goals, satellite networks are an ...
IEEE

Redundancy and Analog Slicing for Precise In-Memory Machine Learning—Part I: Programming Techniques

Abstract: In-memory computing (IMC) is receiving considerable interest for accelerating artificial intelligence (AI) tasks, such as neural network training and inference. However, IMC can also ...