Human intelligence evolved under constraint. Beliefs were tied to reasons and conclusions that carried truth claims that ...

Over the past decades, large-scale human genetic studies have identified numerous risk genes and variants associated with complex diseases and traits.

Social isolation has a direct causal impact on how quickly cognitive function declines in later life, independent of whether someone feels lonely.

Analyzing stochastic cell-to-cell variability can potentially reveal causal interactions in gene regulatory networks.

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

System is a Public Benefit Corporation that is building the System Graph, a quantitative model of the world as one ...

Founded in 2023, the startup develops foundation models that produce synchronized sound effects for video content.

Abstract: Recent improvements in the accuracy of machine learning (ML) models in the language domain have propelled their use in a multitude of products and services, touching millions of lives daily.

This sibling-controlled East Asian study found that autistic individuals, their unaffected siblings, and typically developing ...

A large NHANES analysis found that nearly four in ten US adults met criteria for metabolic syndrome between 2013 and 2023, ...

Abstract: Federated learning (FL) has emerged as an ideal privacy-preserving learning technique which can train a global model in a collaborative way while preserving the private data in the local.

Membership inference (MI) attacks highlight a privacy weakness in present stochastic training methods for neural networks. It is not well understood, however, why they arise. Are they a natural ...