This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
A Python module to model, fit, and analyse single and binary spectral energy distributions (SEDs). This theory behind the code, and the method it implements, are ...
Abstract: Binary function similarity, which often relies on learning-based algorithms to identify what functions in a pool are most similar to a given query function, is a sought-after topic in ...
Abstract: Quantized neural networks employ reduced precision representations for both weights and activations. This quantization process significantly reduces the memory requirements and computational ...
Offline map generation tailored to GPX routes. Builds compact .mbtiles packages by selecting tiles within a zoom-scaled buffer around your track. Optionally pre-render tiles on a tile server via a ...
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