A small adjustment to how artificial intelligence (AI) systems assign diagnosis codes could help physicians save time, cut down on billing errors, and improve patient records, according to new ...

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Yet, here comes another model family worth consideration: Meituan, a Chinese food delivery and e-commerce app, attracted the ...

The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...

Shandong Province University Laboratory for Protected Horticulture, Weifang University of Science and Technology, Weifang, China Introduction: Plant disease detection is critical for ensuring ...

Abstract: Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient.

RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...

Abstract: The multi-label image classification task aims to predict the labels of multiple objects in an image. Existing research has shown that modeling the frequent co-occurrence relationships ...

2) The Oral Glucose Tolerance Test (OGTT) evaluates blood sugar levels two hours post-consumption of a 75 g glucose solution.

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...