Unit-free theorem pinpoints key variables for AI and physics models

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
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New light-based computer chip revolutionizes AI — processes data millions of times faster

As artificial intelligence grows more powerful, so does its appetite for speed and energy. The quest for faster, smarter ...
IEEE

Enhancing Visual Forced Alignment with Local Context-Aware Feature Extraction and Multi-Task Learning

Abstract: This paper introduces a novel approach to Visual Forced Alignment (VFA), aiming to accurately synchronize utterances with corresponding lip movements, without relying on audio cues. We ...
IEEE

Semi-Automated Framework for Feature Engineering in Machine Learning and Data Analysis

Abstract: This research introduces the Semi-Automated Feature Engineering framework, an approach to addressing the complexity of feature engineering in machine learning. The framework addresses an ...