Reinforcement learning (RL) models have been influential in characterizing human learning and decision making, but few studies apply them to characterizing human spatial navigation and even fewer systematically compare RL models under different navigatio
The difference between these two kinds of constraints becomes clear in the comparison of the different forms of face-to-face interaction on the one hand as studied in ‘natural’ sociolinguistics, and the emerging patterns of Human–Machine dialogue we know from Artificial Intelligence on the other...
People rely on well-functioning ecosystems to provide critical services that underpin human health and well-being. Consequently, biodiversity loss has profound negative implications for humanity. Human–biodiversity interactions can deliver individual-level well-being gains, equating to substantial healthcare ...
development from the outset in the design of new AI solutions and can follow the product/service throughout its lifecycle, providing specific, measurable and comparable evidence on potential impacts, their probability, extension, and severity, and facilitating comparison between possible alternative ...
The advantage of this approach is the presence of multiple copies of 16S rRNA molecules per cell, leading to a potentially increased sensitivity of detection in comparison with the sensitivities of PCR assays that target single-copy genes. This TMA assay has been shown to be a sensitive, ...
To add more rigor against type 1 error, we only considered proteins which passed tests for significance in more than one comparison or which passed another test for type 1 error such as BH or a proxy for significance such as having a substantial SD change. We only compared paired ...
The validity of this step is based on the assumption that the psychiatric subject and the control groups differ at most in the expression level of a limited number of genes. The details of our finding on the comparison of these two groups will be published separately. Microarray samples ...
The task of annotating SDs in a genome is not straightforward. There are two widely accepted methods for SDs detection that were first used on the draft human genome by Eichler’s group: whole-genome assembly comparison (WGAC) and whole-genome shotgun sequence detection (WSSD). In a nutshel...
we classified participants into learners and non-learners. We defined non-learners as participants who had an average accuracy of less than 0.55 throughout the study. We focused our analysis on the 66 participants who were classified as learners out of 90 participants (for comparison, a previous...
Beyond the focus on the factors driving human perception of age, the comparison between human and AI abilities could provide a better understanding of current AI technology and suggest ways to improve this technology. There is strong evidence, for example, that, for other aspects of face recogniti...