Visual information extraction from documents via classification-guided large vision-language models. [PDF]
Li H +7 more
europepmc +1 more source
This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor +5 more
wiley +1 more source
Design and implementation of an end-to-end AI-driven colonoscopy recall workflow at scale. [PDF]
Mohapatra A +15 more
europepmc +1 more source
This article introduces an input sparsity‐aware computing‐in‐memory macro featuring novel bidirectional conversion‐skippable analog‐to‐digital converters. By dynamically adjusting resolution based on element‐level sparsity, the architecture skips redundant most significant bit and least significant bit conversions.
Choongseok Song +2 more
wiley +1 more source
Decoding Mandarin Action Verbs from EEG Using a Dual-LSTM Network: Towards Practical Assistive Brain-Computer Interfaces. [PDF]
Liu B, Chen G, Yin L, Liu J.
europepmc +1 more source
OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti +4 more
wiley +1 more source
How many kinds of reasoning? Inference, probability, and natural language semantics
Daniel Lassiter, Noah D. Goodman
openalex +1 more source
Lightweight open-source large language models versus cTAKES for information extraction from discharge summaries: tobacco smoking status test case. [PDF]
Dávila-García DM +2 more
europepmc +1 more source
Stable Neural Signal Recording Processed by Memristor‐Based Reservoir Computing System
This work introduces a memristor‐based reservoir computing (RC) system for real‐time, energy‐efficient processing of neural signals in brain‐machine interface (BMI). Combined with flexible mesh neural probes with tissue‐like flexibility and subcellular‐scale features that enable consistent, long‐term tracking of single‐cell neural activities, the ...
Soohyeon Kim +10 more
wiley +1 more source
Aligning statistical models with inference goals in the neuroscience of language: A dual-dependency taxonomy. [PDF]
Bouton S +5 more
europepmc +1 more source

