Results 331 to 340 of about 2,031,469 (352)
Voltage‐Summation‐Based Compute‐in‐Memory Technology with Capacitive Synaptic Devices
Advanced Intelligent Systems, EarlyView.Compute‐in‐memory (CIM) technologies leveraging capacitive coupling offer significant advantages in energy efficiency and IR‐drop elimination. This work introduces voltage‐summation‐based CIM technology, employing capacitive synaptic devices for matrix–vector multiplication.
Jung Nam Kim +8 more
wiley +1 more source
Dynamic Single‐Input Control of Multistate Multitransition Soft Robotic Actuator
Advanced Intelligent Systems, EarlyView.A concept for reducing the number of control inputs to one in a system with N degrees of freedom, is presented. Incorporating structural instabilities, cleverly, enables choosing any desired trajectory out of (N!)2 with only one input. The concept is demonstrated experimentally, along with analytical insights and numerical simulations.
Geron Yamit +4 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.A passive, tunable perching mechanism enables aerial robots to reliably perch onto smooth surfaces. The design integrates a bistable mechanism with a soft suction cup and SMA actuators for active tuning. Experiments demonstrate robust performance by adapting to varying contact speeds and surface orientation misalignments, enabling diverse perching ...
Mahmud Hasan Saikot +4 more
wiley +1 more source
Innovating to amplify the voices of young people from marginalized ethnic migrant backgrounds
American Journal of Community Psychology, EarlyView.Abstract The meaningful participation of young people from marginalized ethnic backgrounds in civic processes is central to the social cohesion of increasingly diverse liberal democracies, but their participation is compromised by a range of barriers resulting in decision‐making that is disconnected from their lives.
Kelsey L. Deane +7 more
wiley +1 more source
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Word Embeddings: What Works, What Doesn’t, and How to Tell the Difference for Applied Research
Journal of Politics, 2021Word embeddings are becoming popular for political science research, yet we know little about their properties and performance. To help scholars seeking to use these techniques, we explore the effects of key parameter choices—including context window ...
Pedro L. Rodriguez, A. Spirling
semanticscholar +1 more source
2021 Conference on Information Communications Technology and Society (ICTAS), 2021
Word embeddings are currently the most popular vector space model in Natural Language Processing. How we encode words is important because it affects the performance of many downstream tasks such as Machine Translation (MT), Information Retrieval (IR) and Automatic Speech Recognition (ASR).
Anban W. Pillay +3 more
openaire +2 more sources
Word embeddings are currently the most popular vector space model in Natural Language Processing. How we encode words is important because it affects the performance of many downstream tasks such as Machine Translation (MT), Information Retrieval (IR) and Automatic Speech Recognition (ASR).
Anban W. Pillay +3 more
openaire +2 more sources
Sentiment analysis on product reviews based on weighted word embeddings and deep neural networks
Concurrency and Computation, 2020Sentiment analysis is one of the major tasks of natural language processing, in which attitudes, thoughts, opinions, or judgments toward a particular subject has been extracted.
Aytuğ Onan
semanticscholar +1 more source
Hurtful words: quantifying biases in clinical contextual word embeddings
ACM Conference on Health, Inference, and Learning, 2020In this work, we examine the extent to which embeddings may encode marginalized populations differently, and how this may lead to a perpetuation of biases and worsened performance on clinical tasks.
H. Zhang +4 more
semanticscholar +1 more source