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

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

Despite data gaps in many countries, the burden of sickle cell disease, especially in west and central Africa, underscores the urgent need to scale up newborn and early childhood screening, ...

The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that ...

Kiah Treece is a former attorney, small business owner and personal finance coach with extensive experience in real estate and financing. Her focus is on demystifying debt to help consumers and ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

When you don't know what you're talking about, it's better to stay quiet.