Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...
The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...
Designing molecules is one of chemistry's most complex challenges. From life-saving drugs to advanced materials, each ...
AI acts as a feature to support existing solutions, which enables predictions and control process improvements beyond ...
Scientists say they've made a key breakthrough that would allow robots to figure out complex tasks on their own, but experts ...