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

AI-powered crypto wallet finders use machine learning to recover lost wallets, fix seed phrases, and restore digital assets.

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

Discover 6 principles to improve AI writing quality and avoid common mistakes in business communication. Learn practical ...

Woojin Jung, an assistant professor at the Rutgers School of Social Work, said she has found a better strategy. Her team has ...

The biotechnology industry has long been characterized by astronomical development costs and lengthy timelines that can stretch into decades. Traditional ...

Artificial intelligence does not merely generate content. It optimizes it for emotional impact. Through semantic and ...

This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

Introduction Antimicrobial resistance (AMR) poses a global health threat, especially in low-income and middle-income countries. Community health workers (CHWs) are key actors in infection management ...

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