Every year, thousands of children miss critical windows for early autism intervention—simply because diagnostic tools rely too much on subjective observation. Once that window closes, the ...

A machine learning model for prediction of preeclampsia risk using routinely collected data was feasible among pregnancies in ...

COMPUCHILD, a growing STEM education franchise and after-school enrichment franchise for children, today announced that it is expandi ...

The Ateneo Laboratory for Intelligent Visual Environments (ALIVE) is eager to co-develop machine learning solutions with ...

Traditional machine learning emphasized predictive accuracy. Generative systems required attention to hallucination mitigation and grounding. Agentic systems shift the challenge again. They do not ...

Three faculty members from Johns Hopkins University have been named 2026 Sloan Research Fellows by the Alfred P. Sloan ...

Abstract: During vehicle driving, the surface temperature of the wet clutch is difficult to be measured directly, which poses a huge challenge for accurate clutch temperature control. To the above ...

Abstract: For ground-based radars, the troposphere and ionosphere are the main sources of measurement errors. Currently, with the increasing demands for target tracking in many engineering ...

2 Centre for Comprehensive Stroke Rehabilitation and Research, Manipal Academy of Higher Education, Manipal, India Objective Upper limb task-oriented training (UL-TOT) is a complex intervention in ...

For many teachers today, classroom observation no longer feels like professional support. It has become a moment of performance, something to be rehearsed, perfected, and survived. Lessons are ...

The implementation successfully processes diverse data types through both individual term mapping and batch processing capabilities. Conclusions: Our validated large language model–based tool ...