Extracting medicinal chemistry intuition via preference machine learning

OH Choung, R Vianello, M Segler, N Stiefl… - Nature …, 2023 - nature.com
The lead optimization process in drug discovery campaigns is an arduous endeavour where
the input of many medicinal chemists is weighed in order to reach a desired molecular …

Customer service with AI-powered human-robot collaboration (HRC): a literature review

D Leocádio, L Guedes, J Oliveira, J Reis… - Procedia Computer …, 2024 - Elsevier
The present study discusses the impact of Human-Robot Collaboration (HRC) powered by
Artificial Intelligence (AI) on customer service. It is based on the four types of intelligence …

From playing the story to gaming the system: Repeat experiences of a large language model-based interactive story

QR Yong, A Mitchell - International Conference on Interactive Digital …, 2023 - Springer
A distinctive aspect of interactive stories is how they enable players to impact the story
based on their choices, with repeated playthroughs potentially yielding different stories …

Artificial Intelligence for the development of qualitative studies

AJP Gamboa, DD Díaz-Guerra - LatIA, 2023 - latia.ageditor.uy
The integration of Artificial Intelligence (AI) is revolutionizing qualitative research by
optimizing data collection and analysis. Tools such as machine learning and natural …

The role of artificial intelligence (AI) in sha** data privacy

B Lami, SM Hussein, R Rajamanickam… - International Journal of …, 2024 - emerald.com
Purpose This study aims to illustrate the manifold ways in which artificial intelligence (AI)
serves as both a sentinel and a potential intruder in the realm of personal data protection …

Vulnerability or resilience? Examining trust asymmetry from the perspective of risk sources under descriptive versus experiential decision

J Zhu, Y Yao, S Jiang - Frontiers in Psychology, 2023 - frontiersin.org
Introduction The investigation of trust vulnerability is important to the understanding of the
potential mechanisms of trust formation and erosion. However, more effective exploration of …

Computational meaningfulness as the source of beneficial cognitive biases

J Suomala, J Kauttonen - Frontiers in Psychology, 2023 - frontiersin.org
The human brain has evolved to solve the problems it encounters in multiple environments.
In solving these challenges, it forms mental simulations about multidimensional information …

Human Motion Analysis

S Zahan - 2024 - research-repository.uwa.edu.au
The study of motion offers a unique perspective on human physiology and individuality.
Motion represents progressions of simultaneous maneuvers of body parts. Analyzing …

Develo** scripted video cases for teacher education: Creating evidence-based practice representations using mock ups

T Seidel, M Farrell, M Martin, W Rieß, A Renkl - Frontiers in Education, 2022 - frontiersin.org
Video cases are commonly used in teacher education to support evidence-based
professional knowledge acquisition. Novice teachers, however, often struggle when learning …

An Open Dialogue Between Neuromusicology and Computational Modelling Methods

S Bhardwaj, KK Ganguli, S Hegde - AI, Consciousness and The New …, 2024 - Springer
Music perception, cognition, and production research have progressed significantly from
examining neural correlates of musical components to a better understanding of the …