Responding to reports from peer reviewers is a crucial part of scientific publishing, but early-career researchers are rarely taught about this process.

Do you think you have feelings, Gemini?” The question hung in the digital air, stark and almost absurd, yet profoundly human.

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 ...

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

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

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

Reality Defender is effectively training AI to combat AI. The company uses an “inference-based model” to detect deepfakes, ...