Results 71 to 80 of about 938 (162)

Shared Minds: The Cognitive Parallels Between Humans and Artificial Intelligence

Human Behavior and Emerging Technologies, Volume 2026, Issue 1, 2026.
This narrative review integrates evidence from cognitive science and AI research to challenge commonly accepted dichotomies between human and artificial cognition, such as the assumed divide between genuine human understanding and mere machine pattern matching. Instead, we propose a view that recognises similarities in their cognitive architectures and
Sébastien Tremblay, Alexandre Marois, Marzieh Zare, Daniel Lafond, Tze Wei Liew   +4 more
wiley   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

Advanced Intelligent Discovery, Volume 1, Issue 3, December 2025.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

Advances in Detecting RNA Modifications Using Direct RNA Nanopore Sequencing

Advanced Genetics, Volume 6, Issue 4, December 2025.
This review examines recent advances in Oxford Nanopore Technologies direct RNA sequencing, highlighting its expanding capacity to detect RNA modifications beyond m6A. It discusses computational frameworks and basecalling innovations that enable single‐nucleotide and single‐molecule resolution, explores co‐occurring modifications and their regulatory ...
Yaran Liu, Yang Li, Qiang Sun
wiley   +1 more source

Text-Independent Phone-to-Audio Alignment Leveraging SSL (TIPAA-SSL) Pre-Trained Model Latent Representation and Knowledge Transfer

Acoustics
In this paper, we present a novel approach for text-independent phone-to-audio alignment based on phoneme recognition, representation learning and knowledge transfer.
Noé Tits, Prernna Bhatnagar, Thierry Dutoit   +2 more
doaj   +1 more source

Freight rail activity inventory system using a vision‐based deep learning framework

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 27, Page 4692-4717, 14 November 2025.
Abstract Rail freight serves as a reliable cost‐effective and fuel‐efficient mode for long‐distance ground freight transportation. Existing rail data sources rely heavily on aggregate reports that lead to significant spatiotemporal data gaps for infrastructure planning and regulatory evaluation.
Guoliang Feng, Yiqiao Li, Andre Y. C. Tok, Stephen G. Ritchie   +3 more
wiley   +1 more source

A Statistically Validated and Decoding-Aware CNN–Transformer–CTC Framework for Multi-Font Printed Arabic Word Recognition

Applied Sciences
Printed Arabic Optical Character Recognition (OCR) remains challenging due to complex glyph morphology, typographic variability, and sensitivity to Unicode-preserved evaluation protocols. This work introduces a methodology that explicitly treats decoding
Abderrahime Tabzaoui, Loqman Chakir
doaj   +1 more source

Audio Tagging With Connectionist Temporal Classification Model Using Sequentially Labelled Data

, 2019
Audio tagging aims to predict one or several labels in an audio clip. Many previous works use weakly labelled data (WLD) for audio tagging, where only presence or absence of sound events is known, but the order of sound events is unknown. To use the order information of sound events, we propose sequential labelled data (SLD), where both the presence or
Yuanbo Hou, Qiuqiang Kong, Shengchen Li
openaire   +2 more sources

Decoding Handwriting Trajectories from Intracortical Brain Signals for Brain‐to‐Text Communication

Advanced Science, Volume 12, Issue 40, October 27, 2025.
By developing a novel framework that optimizes both shape and temporal loss during decoder training, the authors successfully reconstruct human‐recognizable handwriting trajectories from intracortical neural signals for both Chinese characters and English letters, effectively resolving the temporal misalignment problem in clinical BCIs, thereby ...
Guangxiang Xu, Zebin Wang, Kedi Xu, Junming Zhu, Jianmin Zhang, Yueming Wang, Yaoyao Hao   +6 more
wiley   +1 more source

Speech Recognition for Air Traffic Control Utilizing a Multi-Head State-Space Model and Transfer Learning

Aerospace
In the present study, a novel end-to-end automatic speech recognition (ASR) framework, namely, ResNeXt-Mssm-CTC, has been developed for air traffic control (ATC) systems.
Haijun Liang, Hanwen Chang, Jianguo Kong
doaj   +1 more source

An Attention-Based Convolutional Recurrent Neural Networks for Scene Text Recognition

IEEE Access
Text recognition is critical in various domains, including driving assistance, handwriting recognition, and aiding the visually impaired. In recent years, deep learning-based methods have demonstrated outstanding performance in Scene Text Recognition ...
Adil Abdullah Abdulhussein Alshawi, Jafar Tanha, Mohammad Ali Balafar   +2 more
doaj   +1 more source