Blogue
PsyCounAssist: A Full-Cycle AI-Powered Psychological Counseling Assistant System
Psychological counseling is a highly personalized and dynamic process that requires therapists to continuously monitor emotional changes, document session insights, and maintain therapeutic continuity. Dans ce document, we introduce PsyCounAssist, a comprehensive AI-powered counseling assistant system specifically designed to augment psychological counseling...
Impact of a tunneling particle on the quantum state of a barrier: two-particle wave-packet model
We investigate the scattering of two distinguishable particles with unequal masses and a mutual short-range interaction with the aim of quantifying the impact of a tunneling “projectile” particle on the quantum mechanical state of the “barrier” particle. We find that the states...
Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows
The goal of many applications in energy and transport sectors is to control turbulent flows. Cependant, because of chaotic dynamics and high dimensionality, the control of turbulent flows is exceedingly difficult. Model-free reinforcement learning (R.L.) methods can discover optimal control policies by...
Algorithmic Pricing and Algorithmic Collusion
The rise of algorithmic pricing in online retail platforms has attracted significant interest in how autonomous software agents interact under competition. This article explores the potential emergence of algorithmic collusion – supra-competitive pricing outcomes that arise without explicit agreements – as a...
Learning Weighted Automata over Number Rings, Concretely and Categorically
We develop a generic reduction procedure for active learning problems. Our approach is inspired by a recent polynomial-time reduction of the exact learning problem for weighted automata over integers to that for weighted automata over rationals (Buna-Marginean et al. 2024). Our procedure...
A two-dimensional swarmalator model with higher-order interactions
We study a simple two-dimensional swarmalator model that incorporates higher-order phase interactions, uncovering a diverse range of collective states. The latter include spatially coherent and gas-like configurations, neither of which appear in models with only pairwise interactions. En plus, we discover bistability between...
3D-1D modelling of cranial plate heating induced by low or medium frequency magnetic fields
Safety assessment of patients with one-dimensionally structured passive implants, like cranial plates or stents, exposed to low or medium frequency magnetic fields, like those generated in magnetic resonance imaging or magnetic hyperthermia, can be challenging, because of the different length scales of...
Structuring Competency-Based Courses Through Skill Trees
Computer science education has seen two important trends. One has been a shift from raw theory towards skills: competency-based teaching. Another has been increasing student numbers, with as a result more automation in teaching. When automating education, it is crucial to properly...
A hybrid high-order method for the biharmonic problem
This paper proposes a new hybrid high-order discretization for the biharmonic problem and the corresponding eigenvalue problem. The discrete ansatz space includes degrees of freedom in $n-2$ dimensional submanifolds (par ex., nodal values in 2D and edge values in 3D), in addition to...
UAV-Mounted IRS (UMI) in the Presence of Hovering Fluctuations: 3D Pattern Characterization and Performance Analysis
This paper investigates unmanned aerial vehicle (UAV)-mounted intelligent reflecting surfaces (IRS) to leverage the benefits of this technology for future communication networks, such as 6G. Key advantages include enhanced spectral and energy efficiency, expanded network coverage, and flexible deployment. One of the...