Results 121 to 130 of about 19,032 (297)
A fully transparent, all‐metal‐oxide neuromorphic transistor using a sodium‐embedded alumina (SEA) electrolyte is demonstrated. By precisely tuning the thermal annealing process, the chemical composition of the SEA layer is controlled, allowing for the deterministic realization of both short‐term and long‐term synaptic plasticity within the same device
Yonghyun Albert Kwon +7 more
wiley +1 more source
word representation or word embedding in Persian text
Text processing is one of the sub-branches of natural language processing. Recently, the use of machine learning and neural networks methods has been given greater consideration. For this reason, the representation of words has become very important. This article is about word representation or converting words into vectors in Persian text.
Siamak Sarmady, Erfan Rahmani
openaire +2 more sources
Misspelling Oblivious Word Embeddings
In this paper we present a method to learn word embeddings that are resilient to misspellings. Existing word embeddings have limited applicability to malformed texts, which contain a non-negligible amount of out-of-vocabulary words.
Necati Bora Edizel +5 more
core +1 more source
Enriching Portuguese Word Embeddings with Visual Information
This work focuses on the enrichment of existing Portuguese word embeddings with visual information in the form of visual embeddings. This information was extracted from images portraying given vocabulary terms and imagined visual embeddings learned for ...
Bernardo Scapini Consoli +3 more
core +1 more source
Self‐Healing and Stretchable Synaptic Transistor
A self‐healing stretchable synaptic transistor (3S‐T) is realized using a p‐PVDF‐HFP‐DBP/PDMS‐MPU‐IU bilayer as gate insulator, where dipole‐dipole interaction enhances polarization to achieve a large memory window. Leveraging its neuronal biomimicry, the synaptic transistor demonstrates electrically compatibility with the biological brain. Furthermore,
Hyongsuk Choo +10 more
wiley +1 more source
En-Ar Bilingual Word Embeddings without Word Alignment: Factors Effects [PDF]
This paper introduces the first attempt to investigate morphological segmentation on En-Ar bilingual word embeddings using bilingual word embeddings model without word alignment (BilBOWA).
Simon O’Keefe +3 more
core +1 more source
An original method is presented for producing artificial spider silk fibers with magnetic and magnetomechanical responsiveness, which consists in coating them with a nanometer‐thick layer of FeCo alloy by sputtering deposition. The challenge of combining organic materials and inorganic magnetic nanostructures is addressed, thus taking a step forward ...
Filippo Lanaro +5 more
wiley +1 more source
With the constant advancement of the way that we use technology, there is often a blind application of machine learning that amplify biases present in the data that we use.
York, Darryl, III +3 more
core
Porous Ecoflex/PTFE composite with encapsulated liquid generates electricity through ionic migration induced by dynamic pore deformation, creating non‐uniform electric fields that drive charge induction on electrodes. This mechanism enhances charge transfer and ensures stable contact electrification performance, achieving 12 V and 4 nC with consistent ...
Xiangkun Bo +5 more
wiley +1 more source
Enriching portuguese word embeddings with visual information [PDF]
Essa dissertação foca no enriquecimento de word embeddings pré-treinados na língua Portuguesa com o uso de informações visuais. Essas informações foram extraídas de imagens retratando certos termos do vocabulário e embeddings visuais "imaginadas" para ...
Consoli, Bernardo Scapini
core

