In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

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

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

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...

Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.

MicroPython is a well-known and easy-to-use way to program microcontrollers in Python. If you’re using an Arduino Uno Q, ...

Understanding The Robotics Landscape The Current State of Robotics Robots aren’t just science fiction anymore; they’re ...