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 ...

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...

University of Tennessee, Knoxville neuroscientist Keerthi Krishnan studies how genes, especially MECP2, shape brain ...

The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

It’s not often a math paper goes viral, but a new preprint from a theoretical physicist at Poland’s Jagiellonian University ...

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

AI doesn’t really “think.” Rather, it remembers how we thought together. And we’re about to stop giving it anything worth ...

The differences aren't as big as they seem ...

Overview:  Master R programming faster with real-world projects that build practical data science skillsFrom stock market ...

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

Discover how combining feedback and reflection helps students improve skills, challenge assumptions, and become more adaptive ...

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