Browsing by Subject "Artificial intelligence"
Now showing items 1-11 of 11
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Artificial Intelligence in interprofessional healthcare practice education – Insights from the Home Health Project, an exemplar for change
(Taylor and Francis Group, 2023-08-18)Artificial intelligence (AI) technology in professional practice is regarded as the latest disruption to challenge ethical, societal, economic, and educational paradigms. It is becoming a con-temporary ... -
Deep learning for consumer devices and services: Pushing the limits for machine learning, artificial intelligence, and computer vision
(Institute of Electrical and Electronics Engineers (IEEE), 2017-04)In the last few years, we have witnessed an exponential growth in research activity into the advanced training of convolutional neural networks (CNNs), a field that has become known as deep learning. This has been triggered ... -
Education technology, artificial intelligence, and the mathematics classroom
(Irish Mathematics Teachers Association, 2023)The understanding and learning of mathematics has often been considered a big challenge for many students. More recently the level of mathematical preparedness for students entering tertiary education in Ireland has ... -
Exploiting RDFS and OWL for Integrating Heterogeneous, Large-Scale, Linked Data Corpora
(2011-03-11)The Web contains a vast amount of information on an abundance of topics, much of which is encoded as structured data indexed by local databases. However, these databases are rarely interconnected and information reuse ... -
Monolingual alignment of word senses and definitions in lexicographical resources
(NUI Galway, 2022-07-31)Dictionaries are fundamental resources for people to learn and document languages as well as for computers to process natural languages. A dictionary provides a fine-grained structure and description of the vocabulary of ... -
An ontology-based approach to improve the accessibility of ROS-based robotic systems
(ACM, 2017-12-04)The focus of this work is to exploit ontologies to make robotic systems more accessible to non-expert users, therefore supporting the deployment of robot-integrated applications. Due to the increasing number of robotic ... -
Pushing the AI envelope: merging deep networks to accelerate edge artificial intelligence in consumer electronics devices and systems
(IEEE, 2018-02-08)Deep neural networks (DNNs) are widely used by both academic and industry researchers to solve many long-standing problems in machine learning. There has been such a growth of research in this field, and it has been applied ... -
Self-aware buildings: an evaluation framework and implementation technologies for improving building operations
(2015-05-22)Significant advances have been made in developing national and international policies aimed at improving the energy efficiency of buildings that address both new construction and retrofitting activities in buildings. ... -
Smart augmentation learning an optimal data augmentation strategy
(Institute of Electrical and Electronics Engineers (IEEE), 2017-04-24)A recurring problem faced when training neural networks is that there is typically not enough data to maximize the generalization capability of deep neural networks. There are many techniques to address this, including ... -
Social sentiment indices powered by X-scores
(INSIGHT Centre for Data Analytics, NUI Galway, Ireland, 2016-05)Social Sentiment Indices powered by X-Scores (SSIX) seeks to address the challenge of extracting relevant and valuable economic signals in a cross-lingual fashion from the vast variety of and increasingly influential social ... -
Towards inherently adaptive first person shooter agents using reinforcement learning
(2015-09-30)Reinforcement learning (RL) is a paradigm which involves an agent interacting with an environment. The agent carries out actions in the environment and receives positive reinforcement for actions that are deemed “good” and ...