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Abstract: Over the past decades, extensive research has been conducted on adversarial attacks and defense mechanisms in deep learning, particularly in real-world applications such as autonomous ...
Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...
JesseSort: An experimental replacement for Python’s native sorting algorithm Written in C++ for speed, JesseSort claims to outperform Python’s default sorting algorithm with large amounts of data ...
oLLM is a lightweight Python library built on top of Huggingface Transformers and PyTorch and runs large-context Transformers on NVIDIA GPUs by aggressively offloading weights and KV-cache to fast ...
A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...
The Python Context Library provides powerful, thread-safe context management capabilities for Python applications. It offers a flexible and intuitive API for managing contextual data across different ...
You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.
ABSTRACT: This review focuses on the recent advancements in neuroimaging enabled by deep learning techniques, specifically highlighting their applications in brain disorder detection and diagnosis.