Abstract: Transformer-based neural machine translation (NMT) systems have achieved remarkable success with high-resource bilingual corpora. However, their performance deteriorates significantly in low ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Powering the Internet and digital services uses millions of gallons of South Carolina’s water every year, and tech companies are likely to demand more in the future as they ramp up AI.

Researchers from the University of Tartu Institute of Physics have developed a novel method for enhancing the quality of three-dimensional images by increasing the depth of focus in holograms fivefold ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

GenAI is finally fixing payments by cutting false declines, easing checkout friction and outsmarting fraud without annoying good customers.

Abstract: This research introduces an innovative approach that leverages machine learning and natural language processing (NLP) techniques to detect emotions in text. The proposed system, equipped ...