Slator

Study Finds Generic Reasoning Can Hurt AI Translation

In AI translation, reasoning-enabled models are also performing well. At the WMT25 General Machine Translation Shared Task — ...

Data Is Only Half the Story When It Comes to Marketing — Here’s How to Balance It With Real Human Emotion

The challenge for modern marketers is not whether to trust the data, but how to translate it into work that still feels human ...
BMJ

Protocol for the OPTIMSE-1 randomised clinical trial to test specialist-led identification and management of cardio-renal-metabolic-pulmonary disease in machine learning ...

Introduction People identified as higher risk by a machine learning algorithm (Future Innovations in Novel Detection of Atrial Fibrillation [FIND-AF]) are at increased risk of ...
IEEE

Algorithm Implementation of Japanese Machine Translation System Based on Similarity of Semantic Distribution

Abstract: In intelligent information processing, word similarity calculation based on semantics is a very basic and key problem, which is widely used in information retrieval, machine translation, ...
The Lancet

Development and validation of a generalisable machine learning algorithm for identifying interstitial lung disease cohorts: a retrospective cohort study

aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...