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AI & CognitionarXiv2026-07-22Preprint (62)

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Capturing Inner Experience At Scale: An AI Interviewer Co-Developed with the Founder of a Landmark Phenomenological Method

Jona Carmon, Clara Bersch, Charles Fernyhough et al.

Subjective experience is central to psychological science, yet methods for studying it force a choice between depth and scale. Classical Experience sampling, as in ecological momentary assessments (EMA), captures experience as it occurs, but it confines participants to predetermined response formats that prescribe how experience is measured. Descriptive Experience Sampling (DES) instead investigates specific momen...

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AI & CognitionarXiv2026-07-22Preprint (50)

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FMRP-LEAN: A HIPAA-Compliant AI-Augmented LIMS Architecture for End-to-End Clinical Assay Workflow Optimization

Eva McCord, Ernest Pedapati, Zag ElSayed

Clinical biomarker workflows in translational research settings often rely on spreadsheet driven tracking, manual quality control (QC) reconciliation, and loosely integrated systems, resulting in limited state visibility, delayed reporting, and increased operational risk. These challenges are particularly pronounced in multi day assays such as Luminex based quantification of Fragile X Messenger Ribonucleoprotein (...

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AI & Cognition

Capturing Inner Experience At Scale: An AI Interviewer Co-Developed with the Founder of a Landmark Phenomenological Method

FMRP-LEAN: A HIPAA-Compliant AI-Augmented LIMS Architecture for End-to-End Clinical Assay Workflow Optimization

A Scoping Review of Brain-Computer Interface Applications for Children with Autism Spectrum Disorder

Persian Pixel: A large-scale synthetic OCR dataset for Persian language

Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields

Cerelog-X: A Real-Time EEG-Driven Affective Layer for Social Communication and Emotion-Conditioned Large Language Models on the X Platform

The BMI-HDEEG dataset 1

The Blessing of Dimensionality: How Near-Orthogonality in High-Dimensional Spaces Explains Temporal Portability

SoftReason: A Fully Differentiable Neuro-Soft-Symbolic Deductive Reasoning Architecture over High-Dimensional Perceptual Data

From G tolerance to physiological state monitoring: mechanisms and adaptive protection

Online Variance Reduction for Domain Adaptation on Streaming Data

Adaptive deep nonparametric regression from dependent data under covariate shift

Transfer learning for target user in motor imagery EEG recognition

Distributed Acoustic Localization Array Deployed Using a Soft Everting Vine Robot

State-Dependent Observation Noise Reintroduces Epistemic Value in Linear-Gaussian Active Inference

Distributed Motion Planning with Safety Guarantees for Self-Reconfiguring Robotic Boats

Closing the Lab-to-Store Gap: A Data-Efficient Post-Training and Experience-Driven Learning VLA Framework for Retail Humanoids

Interval and fuzzy physics-augmented neural networks (iPANN and fPANN) for uncertainty quantification and propagation in constitutive modeling

Multi-modal transformer for signal classification in nanopore blockade experiments

When to Smell in Stereo