Results 131 to 140 of about 82,675 (300)

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Undergraduates’ Achievement Goal Orientations, Academic Self-Efficacy and Hope as the Predictors of Their Learning Approaches

, 2019
<p style="text-align:justify">The aim of the present study was to figure out whether university students’ learning approaches were shaped via their achievement goal orientations, academic self-efficacy and hope or not. The other objective
KALI SOYER, MAKBULE
core   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

Using Management Controls to Motivate Employee Net Learning Goal Orientation

, 2020
This study examines the interactive effect of two management controls, superstar recognition with and without the inclusion of a strategy signal and performance value statements, on an employee’s net learning goal orientation.
McLuckie Thain, Lisa
core  

Personalized Network‐Guided Neuromodulation Enhances Human Working Memory

Advanced Science, EarlyView.
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan, Hongming Li, Camille Blaine, Julie Grier, Ethan Hammett, Almaris Figueroa‐Gonzalez, Sarai Garcia, Romain Duprat, Justin Reber, Joseph Deluisi, Christos Davatzikos, Theodore D. Satterthwaite, Yong Fan, Desmond J. Oathes   +13 more
wiley   +1 more source

Asking goal-oriented questions and learning from answers.

, 2019
The study of question asking in humans and machines hasgained attention in recent years. A key aspect of question ask-ing is the ability to select good (informative) questions froma provided set. Machines—in particular neural networks—generally struggle with two important aspects of question ask-ing, namely to learn from the answer to their selected ...
Rothe, Anselm, Lake, Brenden M., Gureckis, Todd M.   +2 more
openaire   +1 more source

Magnetoelectric Nanoparticle‐Based Wireless Brain–Computer Interface: Underlying Physics and Projected Technology Pathway

Advanced Science, EarlyView.
Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang, Max Shotbolt, Mostafa Abdel‐Mottaleb, Shawnus Chen, Victoria Andre, Jieyuan Tian, Jonathan Shulgach, Max Murphy, Brian Noga, Ping Liang, Darcy Griffin, Douglas Weber, Marta Pardo, Salvador Pane, Sakhrat Khizroev   +14 more
wiley   +1 more source

Human-in-the-loop active learning for goal-oriented molecule generation

Journal of Cheminformatics
Abstract Machine learning (ML) systems have enabled the modelling of quantitative structure-property relationships (QSPR) and structure-activity relationships (QSAR) using existing experimental data to predict target properties for new molecules.
Nahal, Yasmine, Menke, Janosch, Martinelli, Julien, Heinonen, Markus, Kabeshov, Mikhail, Janet, Jon Paul, Nittinger, Eva, Engkvist, Ola, Kaski, Samuel   +8 more
openaire   +6 more sources

The relationship between learning goal orientation, goal setting, and performance: a longitudinal study

, 2013
In an educational setting,we examined the relationship of learning goal orientation with goal setting and performance over time. At the first time point, we assessed levels of trait learning goal orientation and asked participants to set performance ...
C-H Chang (13652845), MU Taing (15883799), T Smith (7718225), RE Johnson (14455953), N Singla (13310352)   +4 more
core  

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source