Unit-free theorem pinpoints key variables for AI and physics models

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Unite.AI

How Causal AI is Finally Building AI Models That Can Reason, Not Just React

For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...
eLife

Critique of impure reason: Unveiling the reasoning behaviour of medical large language models

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...
IEEE

The Implementation of a Prediction System for Sugarcane’s Destruction Rate From Sugarcane Stem Borer via Hybrid Machine Learning

Abstract: Sugarcane stem borer poses a significant threat to sugarcane production, causing extensive damage and economic losses in the agricultural sector. Accurately predicting the destruction rate ...