In silico elucidation of the recognition dynamics of ubiquitin. by Dong Long, Rafael Brüschweiler

Get full text

Efficient numerosity estimation under limited time. by Joseph A Heng, Michael Woodford, Rafael Polania

Get full text

Modeling circuit mechanisms of opposing cortical responses to visual flow perturbations. by J Galván Fraile, Franz Scherr, José J Ramasco, Anton Arkhipov, Wolfgang Maass, Claudio R Mirasso

“…The primary visual cortex (V1) is at the forefront of this sensory processing, orchestrating neural responses to perturbations in visual flow. …”
Get full text

STUDY ON DEEP LEARNING MODELS FOR THE CLASSIFICATION OF VR SICKNESS LEVELS by Haechan NA, Yoon Sang KIM

Get full text

Language models outperform cloze predictability in a cognitive model of reading. by Adrielli Tina Lopes Rego, Joshua Snell, Martijn Meeter

“…Although word predictability is commonly considered an important factor in reading, sophisticated accounts of predictability in theories of reading are lacking. Computational models of reading traditionally use cloze norming as a proxy of word predictability, but what cloze norms precisely capture remains unclear. …”
Get full text

BanglaLem: A Transformer-based Bangla Lemmatizer with an Enhanced Dataset by Md Fuadul Islam, Jakir Hasan, Md Ashikul Islam, Prato Dewan, M. Shahidur Rahman

Get full text

On protecting the data privacy of Large Language Models (LLMs) and LLM agents: A literature review by Biwei Yan, Kun Li, Minghui Xu, Yueyan Dong, Yue Zhang, Zhaochun Ren, Xiuzhen Cheng

Get full text

The impact of generative AI on essay revisions and student engagement by Noble Lo, Alan Wong, Sumie Chan

Get full text

Mechanisms of mistrust: A Bayesian account of misinformation learning. by Lion Schulz, Yannick Streicher, Eric Schulz, Rahul Bhui, Peter Dayan

“…We formalize inference in this setting as a doubly Bayesian learning process where agents simultaneously learn about the ground truth as well as the qualities of an information source reporting on this ground truth. …”
Get full text

A novel algorithm identifies stress-induced alterations in mitochondrial connectivity and inner membrane structure from confocal images. by Mathieu Ouellet, Gérald Guillebaud, Valerie Gervais, David Lupien St-Pierre, Marc Germain

Get full text

Mapping the learning curves of deep learning networks. by Yanru Jiang, Rick Dale

Get full text

Differential adhesion between moving particles as a mechanism for the evolution of social groups. by Thomas Garcia, Leonardo Gregory Brunnet, Silvia De Monte

Get full text

Shape-driven deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields. by Endrit Pajaziti, Javier Montalt-Tordera, Claudio Capelli, Raphaël Sivera, Emilie Sauvage, Michael Quail, Silvia Schievano, Vivek Muthurangu

“…Barriers for CFD include high computational resources, specialist experience needed for designing simulation set-ups, and long processing times. …”
Get full text

The role of chromatin state in intron retention: A case study in leveraging large scale deep learning models. by Ahmed Daoud, Asa Ben-Hur

“…Complex deep learning models trained on very large datasets have become key enabling tools for current research in natural language processing and computer vision. By providing pre-trained models that can be fine-tuned for specific applications, they enable researchers to create accurate models with minimal effort and computational resources. …”
Get full text

Exploring the use of generative AI for material texturing in 3D interior design spaces by Rgee Wharlo Gallega, Yasuyuki Sumi

Get full text

Defect inducing large spin orbital coupling enhances magnetic recovery dynamics in CrI3 monolayer by Yu Zhou, Ke Zhao, Zhenfa Zheng, Huiwen Xiang, Jin Zhao, Chengyan Liu

Get full text

The concept and formation pathways of human-smart object attachment: a case study of wearable smart objects by Wenxi Guo, Haiquan Chen, Shuyun Peng

Get full text

Detecting change in stochastic sound sequences. by Benjamin Skerritt-Davis, Mounya Elhilali

Get full text

A feedforward mechanism for human-like contour integration. by Fenil R Doshi, Talia Konkle, George A Alvarez

“…Thus, taken together these results provide a computational existence proof that purely feedforward hierarchical computations are capable of implementing gestalt "good continuation" and perceptual organization needed for human-like contour-integration and uncrowding. …”
Get full text

Image acquisition technology for unmanned aerial vehicles based on YOLO - Illustrated by the case of wind turbine blade inspection by Zhenjun Dai

Get full text