Results 131 to 140 of about 2,393,345 (263)
A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis
METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen +3 more
wiley +1 more source
Dynamic Operations in Macromolecular Data Storage
With the exponential growth of digital data and the limitations of conventional silicon‐based storage and computing technologies, macromolecular data storage, the practice of encoding digital information within large, complex molecules like DNA or synthetic polymers, has emerged as a scalable and sustainable alternative to traditional digital ...
Jakub Ossowski +3 more
wiley +2 more sources
An Investigation of Phonological and Semantic Control Using TMS and fMRI [PDF]
This thesis aimed to investigate the neural basis of linguistic and semantic control across brain networks, using fMRI and TMS. Firstly we assessed the contribution of premotor cortex (PMC) to speech perception: TMS disrupted phonological but not ...
Krieger-Redwood, Katya M
core
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley +1 more source
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang +7 more
wiley +1 more source
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati +3 more
wiley +1 more source
Abstract Families' experience of homelessness is typically examined from the perspective of parents during or shortly after a shelter stay. Parents complain about rules, surveillance, crowding, and challenges to parenting in both homeless shelters and in doubling up with other households (sharing the others' homes), and relief when they attain their ...
Marybeth Shinn +2 more
wiley +1 more source
Objective Memory impairment is a frequent comorbidity of focal epilepsy, incompletely explained by seizure frequency or structural pathology. Ictal and postictal hippocampal dysfunction disrupt memory processes, but their cumulative impact remains poorly quantified.
Ionuț‐Flavius Bratu +5 more
wiley +1 more source
Prefrontal and Cerebellar Contributions to Semantic Memory Retrieval. [PDF]
Kubinec A +3 more
europepmc +1 more source

