A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

While at times the number of food safety recalls seems to be rising, in most cases, the recalls are smaller in lot size and ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

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 ...

The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...

To address AI bias at its roots, we must understand the human heuristics that shape it. Unlike prior frameworks that focus ...

Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models ...

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...

What we encounter in LLMs is largely ourselves. A psychoanalytic AI take on transference, countertransference, and the ...

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...