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

Rosalind, a life sciences AI model built to speed biology, drug discovery, and translational medicine research workflows.

Background Current automatic software uses a fixed apparent diffusion coefficient (ADC) threshold (≤620×10⁻⁶ mm²/s) to ...

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 ...

University of Birmingham experts have created open-source computer software that helps scientists understand how fast-moving ...

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

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

AI has already proved itself a valuable scientific tool. Could it take on a more central role in the research process?

Pushing against years of scepticism, an analysis suggests quantum computers may offer real advantages for running machine ...

Nothing rivals the human brain's complexity. Its 86 billion neurons and 85 billion other cells make an estimated 100 trillion ...

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

More than two-thirds of the public believe at least one false or unproven health claim — such as the idea that taking ...