Optical neural networks: progress and challenges

T Fu, J Zhang, R Sun, Y Huang, W Xu, S Yang… - Light: Science & …, 2024 - nature.com
Artificial intelligence has prevailed in all trades and professions due to the assistance of big
data resources, advanced algorithms, and high-performance electronic hardware. However …

Telepresence social robotics towards co-presence: A review

L Almeida, P Menezes, J Dias - Applied Sciences, 2022 - mdpi.com
Telepresence robots are becoming popular in social interactions involving health care,
elderly assistance, guidance, or office meetings. There are two types of human …

Developing an Intelligent Decision Support System for large-scale smart grid communication network planning

MA Mochinski, M Biczkowski, IJ Chueiri… - Knowledge-Based …, 2024 - Elsevier
The placement of routers and gateways in wireless communication networks for Smart Grid
Advanced Metering Infrastructure (AMI) is a complex problem often addressed in the …

A Generic Review of Integrating Artificial Intelligence in Cognitive Behavioral Therapy

M Jiang, Q Zhao, J Li, F Wang, T He, X Cheng… - arXiv preprint arXiv …, 2024 - arxiv.org
Cognitive Behavioral Therapy (CBT) is a well-established intervention for mitigating
psychological issues by modifying maladaptive cognitive and behavioral patterns. However …

[PDF][PDF] The Algorithmization of Policy and Society

FL Leeuw - Artificial Intelligence and Evaluation, 2025 - library.oapen.org
Across the contributions in this book, a picture is emerging that artificial intelligence (AI) has
gained a foothold not only in various professional research fields but also in organizations …

Ultra-Wide Frequency Response and High-Resolution Triboelectric Acoustic Sensors for Constructing Multifunctional Speech Aided System

T Zheng, M Gao, Y Wang, Y Luo, H Zhang… - Nano Energy, 2025 - Elsevier
As an important medium for human-computer interaction, acoustic sensors can directly
convey human intentions and provide information. However, it is challenging for existing …

[HTML][HTML] DSAP: Analyzing bias through demographic comparison of datasets

I Dominguez-Catena, D Paternain, M Galar - Information Fusion, 2025 - Elsevier
In the last few years, Artificial Intelligence (AI) systems have become increasingly
widespread. Unfortunately, these systems can share many biases with human decision …

Gender stereotyping impact in facial expression recognition

I Dominguez-Catena, D Paternain, M Galar - Joint European Conference …, 2022 - Springer
Abstract Facial Expression Recognition (FER) uses images of faces to identify the emotional
state of users, allowing for a closer interaction between humans and autonomous systems …

Less can be more: representational vs. stereotypical gender bias in facial expression recognition

I Dominguez-Catena, D Paternain, A Jurio… - Progress in Artificial …, 2024 - Springer
Abstract Machine learning models can inherit biases from their training data, leading to
discriminatory or inaccurate predictions. This is particularly concerning with the increasing …

[HTML][HTML] Urban attractiveness according to ChatGPT: Contrasting AI and human insights

M Malekzadeh, E Willberg, J Torkko… - … , Environment and Urban …, 2025 - Elsevier
The attractiveness of urban environments significantly impacts residents' satisfaction with
their living spaces and their overall mood, which in turn, affects their health and well-being …