Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

In the context of the current technological progress, big data arises as a compelling research topic. This paper presents non-traditional analysis strategies like exploiting data semantics (cycle ...

Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

Data-driven learning methods have great potential in optimizing memristive devices, yet its application in memristor inverse modeling is still facing big challenge due to the scarcity of experimental ...