AIMC Topic: Learning

Clear Filters Showing 451 to 460 of 1397 articles

Multi-Task Learning Model for Kazakh Query Understanding.

Sensors (Basel, Switzerland) Dec 14, 2022
Query understanding (QU) plays a vital role in natural language processing, particularly in regard to question answering and dialogue systems. QU finds the named entity and query intent in users' questions. Traditional pipeline approaches manage the ...
Natural Language Processing Semantics Machine Learning Language Learning
View on PubMed DOI

Sparse RNNs can support high-capacity classification.

PLoS computational biology Dec 14, 2022
Feedforward network models performing classification tasks rely on highly convergent output units that collect the information passed on by preceding layers. Although convergent output-unit like neurons may exist in some biological neural circuits, n...
Neurons Synapses Learning Neural Networks, Computer
View on PubMed DOI

Flexible Optical Synapses Based on InSe/MoS Heterojunctions for Artificial Vision Systems in the Near-Infrared Range.

ACS applied materials & interfaces Dec 13, 2022
Near-infrared (NIR) synaptic devices integrate NIR optical sensitivity and synaptic plasticity, emulating the basic biomimetic function of the human visual system and showing great potential in NIR artificial vision systems. However, the lack of semi...
Humans Learning Biomimetics Artificial Intelligence Molybdenum Synapses
View on PubMed DOI

Incidental auditory category learning and visuomotor sequence learning do not compete for cognitive resources.

Attention, perception & psychophysics Dec 12, 2022
The environment provides multiple regularities that might be useful in guiding behavior if one was able to learn their structure. Understanding statistical learning across simultaneous regularities is important, but poorly understood. We investigate ...
Reaction Time Cognition Neural Networks, Computer Humans Feedback Learning
View on PubMed DOI

Adaptive Interaction Control of Compliant Robots Using Impedance Learning.

Sensors (Basel, Switzerland) Dec 12, 2022
This paper presents an impedance learning-based adaptive control strategy for series elastic actuator (SEA)-driven compliant robots without the measurement of the robot-environment interaction force. The adaptive controller is designed based on the c...
Electric Impedance Uncertainty Robotics Learning
View on PubMed DOI

Factorizing time-heterogeneous Markov transition for temporal recommendation.

Neural networks : the official journal of the International Neural Network Society Dec 9, 2022
Temporal recommendation which recommends items to users with consideration of time information has been of wide interest in recent years. But huge event space, highly sparse user activities and time-heterogeneous dependency of temporal behaviors make...
Learning Machine Learning Neural Networks, Computer
View on PubMed DOI

Radiation therapist perceptions on how artificial intelligence may affect their role and practice.

Journal of medical radiation sciences Dec 7, 2022
INTRODUCTION: The use of artificial intelligence (AI) has increased in medical radiation science, with advanced computing and modelling. Considering radiation therapists (RTs) perceptions of how this may affect their role is imperative, as this will ...
Humans Artificial Intelligence Australia Radiation Oncology Surveys and Questionnaires Learning
View on PubMed DOI

GC-MLP: Graph Convolution MLP for Point Cloud Analysis.

Sensors (Basel, Switzerland) Dec 5, 2022
With the objective of addressing the problem of the fixed convolutional kernel of a standard convolution neural network and the isotropy of features making 3D point cloud data ineffective in feature learning, this paper proposes a point cloud process...
Cloud Computing Algorithms Benchmarking Learning Neural Networks, Computer
View on PubMed DOI

N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning.

Scientific data Dec 2, 2022
Few-shot learning (learning with a few samples) is one of the most important cognitive abilities of the human brain. However, the current artificial intelligence systems meet difficulties in achieving this ability. Similar challenges also exist for b...
Benchmarking Algorithms Cluster Analysis Humans Artificial Intelligence Learning Neural Networks, Computer
View on PubMed DOI

A Computational Complexity Perspective on Segmentation as a Cognitive Subcomputation.

Topics in cognitive science Dec 1, 2022
Computational feasibility is a widespread concern that guides the framing and modeling of natural and artificial intelligence. The specification of cognitive system capacities is often shaped by unexamined intuitive assumptions about the search space...
Humans Artificial Intelligence Speech Cognition Learning Computer Simulation
View on PubMed DOI
Popular Topics
Recent Journals