Results 81 to 90 of about 45,590 (288)

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

open access: yesAdvanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam   +2 more
wiley   +1 more source

MultiWord Expression Aware Neural Machine Translation

open access: yesProceedings of The 12th Language Resources and Evaluation Conference, 2020
Multiword Expressions (MWEs) are a frequently occurring phenomenon found in all natural languages that is of great importance to linguistic theory, natural language processing applications, and machine translation systems. Neural Machine Translation (NMT) architectures do not handle these expression well and previous studies have not explicitly ...
Zaninello, Andrea, Birch, Alexandra
openaire   +2 more sources

The Cuttlebone Blueprint for Multifunctional Metamaterials: Design Taxonomy, Functional Decoupling, and Future Horizons

open access: yesAdvanced Functional Materials, EarlyView.
Cuttlebone‐inspired metamaterials exploit a septum‐wall architecture to achieve excellent mechanical and functional properties. This review classifies existing designs into direct biomimetic, honeycomb‐type, and strut‐type architectures, summarizes governing design principles, and presents a decoupled design framework for interpreting multiphysical ...
Xinwei Li, Zhendong Li
wiley   +1 more source

Generative Neural Machine Translation

open access: yes, 2018
We introduce Generative Neural Machine Translation (GNMT), a latent variable architecture which is designed to model the semantics of the source and target sentences. We modify an encoder-decoder translation model by adding a latent variable as a language agnostic representation which is encouraged to learn the meaning of the sentence.
Shah, Harshil, Barber, David
openaire   +2 more sources

Membrane Fusion‐Inspired Nanomaterials: Emerging Strategies for Infectious Disease and Cancer Diagnostics

open access: yesAdvanced Healthcare Materials, EarlyView.
Membrane fusion‐inspired nanomaterials offer transformative potential in diagnostics by mimicking natural fusion processes to achieve highly sensitive and specific detection of disease biomarkers. This review highlights recent advancements in nanomaterial functionalization strategies, signal amplification systems, and stimuli‐responsive fusion designs,
Sojeong Lee   +9 more
wiley   +1 more source

Multilingual Simultaneous Neural Machine Translation [PDF]

open access: gold, 2021
Philip Arthur   +2 more
openalex   +1 more source

Boosting Neural Machine Translation

open access: yes, 2016
published in IJCNLP ...
Zhang, Dakun   +3 more
openaire   +2 more sources

Ultrasound‐Triggered Gelation for Restoring Biomechanical Properties of Degenerated Functional Spinal Units

open access: yesAdvanced Healthcare Materials, EarlyView.
This study introduces an innovative approach to treating intervertebral disc degeneration using ultrasound‐triggered in situ hydrogel formation. Proof‐of‐concept experiments using optimized biomaterial and ultrasound parameters demonstrate partial restoration of biomechanical function and successful integration into degenerated disc tissue, offering a ...
Veerle A. Brans   +11 more
wiley   +1 more source

MTIL2017: Machine Translation Using Recurrent Neural Network on Statistical Machine Translation

open access: yesJournal of Intelligent Systems, 2019
Machine translation (MT) is the automatic translation of the source language to its target language by a computer system. In the current paper, we propose an approach of using recurrent neural networks (RNNs) over traditional statistical MT (SMT).
Mahata Sainik Kumar   +2 more
doaj   +1 more source

YANMTT: Yet Another Neural Machine Translation Toolkit [PDF]

open access: gold, 2023
Raj Dabre   +3 more
openalex   +1 more source

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