Tootfinder

Towards Trustworthy Agentic IoEV: AI Agents for Explainable Cyberthreat Mitigation and State Analytics
Meryem Malak Dif, Mouhamed Amine Bouchiha, Abdelaziz Amara Korba, Yacine Ghamri-Doudane
https://arxiv.org/abs/2509.12233

Towards Trustworthy Agentic IoEV: AI Agents for Explainable Cyberthreat Mitigation and State Analytics
The Internet of Electric Vehicles (IoEV) envisions a tightly coupled ecosystem of electric vehicles (EVs), charging infrastructure, and grid services, yet it remains vulnerable to cyberattacks, unreliable battery-state predictions, and opaque decision processes that erode trust and performance. To address these challenges, we introduce a novel Agentic Artificial Intelligence (AAI) framework tailored for IoEV, where specialized agents collaborate to deliver autonomous threat mitigation, robust a…

Empowering Multi-Robot Cooperation via Sequential World Models
Zijie Zhao, Honglei Guo, Shengqian Chen, Kaixuan Xu, Bo Jiang, Yuanheng Zhu, Dongbin Zhao
https://arxiv.org/abs/2509.13095

Empowering Multi-Robot Cooperation via Sequential World Models
Model-based reinforcement learning (MBRL) has shown significant potential in robotics due to its high sample efficiency and planning capability. However, extending MBRL to multi-robot cooperation remains challenging due to the complexity of joint dynamics. To address this, we propose the Sequential World Model (SeqWM), a novel framework that integrates the sequential paradigm into model-based multi-agent reinforcement learning. SeqWM employs independent, sequentially structured agent-wise world…

The Israeli Sociological Society was suspended from cooperation w/ the International Sociological Association. #ISS #Sociology This sends “a problematic signal by isolating academic organizations under political pressure instead of protecting them.”
👇

Estimating Covariate Effects on Functional Connectivity using Voxel-Level fMRI Data
Wei Zhao, Brian J. Reich, Emily C. Hector
https://arxiv.org/abs/2508.11213 https://

Estimating Covariate Effects on Functional Connectivity using Voxel-Level fMRI Data
Functional connectivity (FC) analysis of resting-state fMRI data provides a framework for characterizing brain networks and their association with participant-level covariates. Due to the high dimensionality of neuroimaging data, standard approaches often average signals within regions of interest (ROIs), which ignores the underlying spatiotemporal dependence among voxels and can lead to biased or inefficient inference. We propose to use a summary statistic -- the empirical voxel-wise correlati…

The Adaptation Paradox: Agency vs. Mimicry in Companion Chatbots
T. James Brandt, Cecilia Xi Wang
https://arxiv.org/abs/2509.12525 https://arxiv.org/pdf/25…

The Adaptation Paradox: Agency vs. Mimicry in Companion Chatbots
Generative AI powers a growing wave of companion chatbots, yet principles for fostering genuine connection remain unsettled. We test two routes: visible user authorship versus covert language-style mimicry. In a preregistered 3x2 experiment (N = 162), we manipulated user-controlled avatar generation (none, premade, user-generated) and Language Style Matching (LSM) (static vs. adaptive). Generating an avatar boosted rapport ($ω^2$ = .040, p = .013), whereas adaptive LSM underperformed static st…

I've made a summer quiz for EU energy policy nerds 🤓
https://www.linkedin.com/posts/jaapburger_acers-country-sheets-summer-quiz-acti…

Now that the school year is coming to an end in many European countries, many children are receiving their school reports. | Jaap Burger
Now that the school year is coming to an end in many European countries, many children are receiving their school reports. What are they doing well and where can they improve? Have they learned from the curriculum and have they acted on previous recommendations? How are they doing compared to their peers? EU Agency for the Cooperation of Energy Regulators (ACER) does something similar for countries, their retail energy markets and the level of consumer participation. It's time for their annual …

Particle-hole symmetry in the pseudogap phase of moderately underdoped cuprate high temperature superconductors evidenced from joint density of states analysis
Niraj Kumar Shah, Junjing Zhao, Utpal Chatterjee
https://arxiv.org/abs/2509.12568

Particle-hole symmetry in the pseudogap phase of moderately underdoped cuprate high temperature superconductors evidenced from joint density of states analysis
In conventional superconductors, the energy scale associated with the superfluid stiffness is much larger compared to the pairing energy and hence, the superconducting transition temperature (Tc) is entirely dictated by the superconducting (SC) energy gap. The phase rigidity of the SC condensate in unconventional superconductors, on the other hand, can be low enough to enable destruction of superconductivity via phase incoherence and persistence of an energy gap even at the absence of macroscop…

Jaguar Land Rover says cyberattack shutdown to last 'at least' another week https://therecord.media/jaguar-land-rover-another-week-shutdown-cyberattack

Douro Valley hiking day 2. #hiking #portugal

Cooperative Face Liveness Detection from Optical Flow
Artem Sokolov, Mikhail Nikitin, Anton Konushin
https://arxiv.org/abs/2508.10786 https://arxiv.org/pdf…

Cooperative Face Liveness Detection from Optical Flow
In this work, we proposed a novel cooperative video-based face liveness detection method based on a new user interaction scenario where participants are instructed to slowly move their frontal-oriented face closer to the camera. This controlled approaching face protocol, combined with optical flow analysis, represents the core innovation of our approach. By designing a system where users follow this specific movement pattern, we enable robust extraction of facial volume information through neur…