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

Somewhere in the sun-scorched grasslands of Venezuela, a green-rumped parrotlet lands at the entrance of a wooden nest box ...

For decades, the behavioural interview has been the gold standard of talent acquisition.\xa0 The underlying logic, rooted in the work of psychologist John L. Holland and later popularized by other ...

Somewhere in the deep water off Dominica, a sperm whale surfaces after a foraging dive and fires off a rapid burst of clicks.

Learn how AI in content marketing uses predictive personalization and machine learning to boost engagement, rankings, and ...

The ChatGPT Images 2.0 model is here. Our testing shows it’s better at creating more detailed images and rendering text, but ...

Many of us have long struggled to convince ChatGPT to generate images in a specific desired aspect ratio. Often, the AI ...

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

The Individual Brain Charting (IBC) project has released its fifth and largest update of high-resolution fMRI data, adding a ...

The intersection of artificial intelligence, human learning, and behavior change has gained increasing importance in recent years. Traditional adaptive ...

The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...