This study uses a Bayesian framework to characterize latent brain state dynamics associated with memory encoding and performance in children, as measured with functional magnetic resonance imaging.
A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...
Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...
More than half of transplant recipients in a large analysis developed chronic graft-versus-host disease, and 15% died from causes other than cancer relapse. Those numbers capture the uneasy truth of ...
As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
Via essays, poems, videos, artwork and graphics, 35 students across the globe reflect on how this technology is affecting teenagers. By The Learning Network Students react to Harvard’s proposal to cap ...
A threefold hippocampal code across conceptual directions, phase-locked to entorhinal grid activity, reveals a periodic mechanism through which entorhinal grids structure hippocampal vector ...
In an increasingly interconnected world, understanding the behavior and structure of complex networks has become essential across disciplines. These ...
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