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.

In an increasingly interconnected world, understanding the behavior and structure of complex networks has become essential across disciplines. These ...

Patient digital twins aim to create computational replicas of an individual’s physiology that can predict disease trajectories and treatment response.

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

Concr CEO Irina Babina and CTO Matthew Griffiths unpack how Bayesian foundation models can excel at uncertainty management to ...

The unbridled hype of the mid-2020s is finally colliding with the structural and infrastructure limits of 2026.

Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate ...

Nvidia has released analysis showing a 4X to 10X reduction in cost per token for AI inferencing by switching to open source models. The cost discounts required combining Blackwell hardware with two ...