Do you agree? Data normalization isn’t the finish line. Harmonization is. Even after basic normalization, datasets can drift ...
We’ve identified industrial-scale distillation attacks on our models by DeepSeek, Moonshot AI, and MiniMax. These labs ...
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left ...
Abstract: Deep learning-based object detectors face unique challenges in construction sites, including severe occlusions from complex spatial arrangements, similar appearances between different ...
(Previous attempt: Loudness-Normalization-tauri-app. As the EBU R128 algorithm proved less effective for galgame voice streaming scenarios, I try to directly normalize the loudness of raw galgame ...
Abstract: Deep Neural network learning for image processing faces major challenges related to changes in distribution across layers, which disrupt model convergence and performance. Activation ...
A research-grade Persian (Farsi) Named Entity Recognition (NER) pipeline and dataset for large-scale extraction of silver-standard named entity inventories from Persian Wikipedia. This repository is ...
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