Results 161 to 170 of about 96,400 (324)

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Using word embeddings to analyse audience effects and individual differences in parenting Subreddits. [PDF]

EPJ Data Sci, 2023
Sepahpour-Fard M, Quayle M, Schuld M, Yasseri T.   +3 more
europepmc   +1 more source

A Super‐Adhesive Air Filter With Capillarity‐Mediated Spontaneous Particle Absorption via Dynamic Bond Exchange

Advanced Materials, EarlyView.
We address the inherently weak particle adhesion of conventional air filters by coating a dynamically crosslinked adhesive layer that delivers capillarity‐driven strong adhesion and particle absorption mediated by dynamic bond exchange. The resulting enhancement in particle adhesion enables efficient ultrafast (up to 20 m s−1) and omnidirectional ...
Junyong Park, Hyeri Jeon, Hyunwoong Park, Ji Min Lee, Yeomyung Yoon, Gyeong Hwan Choi, Sazzadul A. Rahat, Dong Wook Lee, Sohdam Jeong, Jonathan T. Pham, Chae Bin Kim, Sanghyuk Wooh   +11 more
wiley   +1 more source

Multilingual Word Embeddings for Low-Resource Languages using Anchors and a Chain of Related Languages [PDF]

, 2023
Viktor Hangya, Silvia Severini, Radoslav Ralev, Alexander Fraser, Hinrich Schütze   +4 more
openalex   +1 more source

Explorations in Word Embeddings : graph-based word embedding learning and cross-lingual contextual word embedding learning

, 2019
Les plongements lexicaux sont un composant standard des architectures modernes de traitement automatique des langues (TAL). Chaque fois qu'une avancée est obtenue dans l'apprentissage de plongements lexicaux, la grande majorité des tâches de traitement automatique des langues, telles que l'étiquetage morphosyntaxique, la reconnaissance d'entités ...
openaire   +1 more source

3D Printed Multimaterial Microfluidic Transistors

Advanced Materials Technologies, EarlyView.
We introduce a biocompatible, high resolution photopolymer resin that closely mimics the Young's Modulus (elasticity) and reversible stretchability (no hysteresis) of poly(dimethylsiloxane) (PDMS), enabling the fabrication of microfluidic transistors (i.e., microvalves capable of proportional amplification) by multimaterial stereolithography (mSLA ...
Alireza Ahmadianyazdi, Wei Huang, Kaustav A. Gopinathan, Ivan Stepanov, Lisa Horowitz, Ting‐Yuan Tu, Mehmet Toner, Albert Folch   +7 more
wiley   +1 more source

Comparison of the accuracy of Japanese synonym identifications using word embeddings in the radiological technology field. [PDF]

Sci Rep, 2023
Yagahara A, Yokohama N.
europepmc   +1 more source

Word Embeddings as Tuples of Feature Probabilities

, 2020
Siddharth Bhat, Alok Debnath, Souvik Banerjee, Manish Shrivastava   +3 more
openalex   +1 more source

Anti‐Slip Material‐Based Strategies and Approaches

Advanced Materials Technologies, EarlyView.
This review highlights the principle mechanisms of slipping at the microscale, linking contact mechanics with a friction behavior model for surface interfaces. Main strategies to develop anti‐slip properties to the surfaces are discussed alongside standardized testing approaches.
Sogand Abbaspoor‐Zanjani, Carlo Antonini, Teresa Gatti, Mengjiao Wang   +3 more
wiley   +1 more source

Deep-STP: a deep learning-based approach to predict snake toxin proteins by using word embeddings. [PDF]

Front Med (Lausanne), 2023
Zulfiqar H, Guo Z, Ahmad RM, Ahmed Z, Cai P, Chen X, Zhang Y, Lin H, Shi Z.   +8 more
europepmc   +1 more source