Psychology Today

Do Large Language Models Think Like Us?

The authors note the critical shift that occurred between statistical natural language processing (NLP), where AI retrieves and ranks existing information, with the (human) user then able to judge ...
Frontiers

Augmenting large language models with psychologically grounded models of causal reasoning for planning under uncertainty

Large Language Models (LLMs) have come a long way in their ability to solve a wide range of problems. Yet, LLM decision-making still relies primarily on pattern recognition, which may limit its ...
IEEE

Causal Inference via Style Bias Deconfounding for Domain Generalization

Abstract: Deep neural networks (DNNs) often struggle with out-of-distribution data, limiting their reliability in real-world visual applications. To address this issue, domain generalization methods ...
IEEE

CausalSynG: Multivariate Collaborative Causal Inference With Dynamic Knowledge-Data Synergy for Industrial Soft Sensors

Abstract: Data-driven soft sensor techniques are increasingly being applied in complex industrial environments, enabling the modeling of many previously intractable variables and playing a critical ...
VentureBeat

Alembic melted GPUs chasing causal A.I. — now it's running one of the fastest supercomputers in the world

Alembic Technologies has raised $145 million in Series B and growth funding at a valuation 15 times higher than its previous round, betting that the next competitive advantage in artificial ...
note

Summary of the book 'Causal Inference and Discovery in Python'

This is a summary of '(Code Downloadable) Causal Inference and Discovery in Python [Concepts and Practice]: Unlocking the Key to Causal Machine Learning' (published August 20, 2024, by Aleksander ...
The Lancet

Target trial emulation in paediatric research: how can causal effects be estimated from observational data?

aDivision of Nephrology, The Hospital for Sick Children, Toronto, ON, Canada bChild Health Evaluative Sciences, Research Institute, The Hospital for Sick Children, Toronto, ON, Canada cInstitute of ...
BMJ

Causal inference in physical activity epidemiology research: an opportunity for better evidence

Decades of research have established a significant link between physical activity and health, influencing agenda setting, policy making and community awareness.1–4 However, the field continues to ...