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 — ...
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 ...
TCTMD

UltraSight PVAD IQ Machine Learning Algorithm Accurately Identifies Impella Micro-axial Flow Pump Depth Across the Aortic Valve on Ultrasound Imaging: An Early Clinical ...

Results From The International MISSION Re-BEAT Feasibility Trial Using A Pulsatile, Soft Robotic Biventricular MCS Device That Avoids Blood Contact In Heart Failure Patients With Reduced Ejection ...
financefeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
InfoQ

Google Introduces TranslateGemma Open Models for Multilingual Translation

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...
IEEE

Improved Neural Machine Translation Algorithm for English-Chinese Translation Based on Multi-Head Attention Mechanism

Abstract: With the acceleration of globalization, the demand for English-Chinese translation has surged, yet existing neural machine translation algorithms struggle with long sentences, ambiguous ...
CNN

Like digging ‘your own professional grave’: The translators grappling with losing work to AI

As a rare Irish-language translator, Timothy McKeon enjoyed steady work for European Union institutions for years. But the rise of artificial intelligence tools that can translate text and, ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
IEEE

Agent-SiMT: Agent-Assisted Simultaneous Translation With Large Language Models

Abstract: Simultaneous Machine Translation (SiMT) generates target translations in real-time while reading the source sentence. It relies on a policy to determine the optimal timing for producing ...
EurekAlert!

Transforming acute exacerbations of chronic obstructivepulmonary disease (AECOPD) risk assessment: Amulti-algorithm machine learning approach for preciseclinical phenotyping

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...
The Verge

The algorithm failed music

Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...