Search results for "computers"
showing 10 items of 3243 documents
AI ethics:an empirical study on the views of practitioners and lawmakers
2023
Artificial intelligence (AI) solutions and technologies are being increasingly adopted in smart systems contexts; however, such technologies are concerned with ethical uncertainties. Various guidelines, principles, and regulatory frameworks are designed to ensure that AI technologies adhere to ethical well-being. However, the implications of AI ethics principles and guidelines are still being debated. To further explore the significance of AI ethics principles and relevant challenges, we conducted a survey of 99 randomly selected representative AI practitioners and lawmakers (e.g., AI engineers and lawyers) from 20 countries across five continents. To the best of our knowledge, this is the …
Designing knowledge construction in pre-service teachers’ collaborative planning talk
2022
In this paper, we report on a qualitative study of student teachers’ collaboration in planning and implementing a course that integrated physics and the Finnish language. Audio-recorded planning sessions and interviews were examined using qualitative content analysis, first, to discover what kind of space for knowledge construction student teachers designed for learners and, second, to identify the characteristics of their collaboration in developing a new cross-disciplinary pedagogical practice. The analysis revealed challenges in integrating meaning-making resources for knowledge construction; especially the role of language remained mostly invisible. This indicates a need to develop teac…
Latency-Oblivious Distributed Task Scheduling for Mobile Edge Computing
2018
Mobile Edge Computing (MEC) is emerging as one of the effective platforms for offloading the resource- and latency-constrained computational services of modern mobile applications. For latency- and resource-constrained mobile devices, the important issues include: 1) minimize end-to-end service latency; 2) minimize service completion time; 3) high quality-of-service (QoS) requirement to offload the complex computational services. To address the above issues, a latencyoblivious distributed task scheduling scheme is designed in this work to maximize the QoS performance and goodput for the MEC services. Unlike most of the existing works, we consider the latency-oblivious property of different …
Social and health care educators' perceptions of competence in digital pedagogy: A qualitative descriptive study
2020
Abstract Background Digitalisation has made digital competence a necessity for those working in social and healthcare. A high degree of competence in digital pedagogy is required of educators to meet the challenge of educating future professionals who are themselves highly digitally competent. Objectives The aim of this study was to describe the perceptions of competence in digital pedagogy that educators in social and healthcare have. Design A qualitative descriptive study. Participants The participants were Finnish-speaking social and healthcare educators (n = 37) working at six Finnish universities of applied sciences (UAS). Methods Group interviews (n = 12) were conducted during spring …
Experiential Learning of Chemistry Concepts Using Virtual Reality Technology
2016
Master's thesis Multimedia and Educational Technology MM500 - University of Agder 2016 Chemistry is a wide subject with many theoretical concepts. These theoretical concepts may be hard to grasp without experimental work. In a school class there are often students who are visual, auditory and kinesthetic learners who need appropriate tools for triggering engagement and active learning. This research discusses how adding student activities and experiments using a Virtual Reality (VR) based solution, can contribute to an enhanced learning experience for students during chemistry class. In order to produce a usable interactive VR based solution, this work followed the Human Centered Design pro…
Toward Self-Aware Robots
2018
Despite major progress in Robotics and AI, robots are still basically “zombies” repeatedly achieving actions and tasks without understanding what they are doing. Deep-Learning AI programs classify tremendous amounts of data without grasping the meaning of their inputs or outputs. We still lack a genuine theory of the underlying principles and methods that would enable robots to understand their environment, to be cognizant of what they do, to take appropriate and timely initiatives, to learn from their own experience and to show that they know that they have learned and how. The rationale of this paper is that the understanding of its environment by an agent (the agent itself and its effect…
Experiments in Artificial Theory of Mind: From Safety to Story-Telling
2018
Theory of mind is the term given by philosophers and psychologists for the ability to form a predictive model of self and others. In this paper we focus on synthetic models of theory of mind. We contend firstly that such models—especially when tested experimentally—can provide useful insights into cognition, and secondly that artificial theory of mind can provide intelligent robots with powerful new capabilities, in particular social intelligence for human-robot interaction. This paper advances the hypothesis that simulation-based internal models offer a powerful and realisable, theory-driven basis for artificial theory of mind. Proposed as a computational model of the simulation theory of …
Restoration and Enhancement of Historical Stereo Photos
2021
Restoration of digital visual media acquired from repositories of historical photographic and cinematographic material is of key importance for the preservation, study and transmission of the legacy of past cultures to the coming generations. In this paper, a fully automatic approach to the digital restoration of historical stereo photographs is proposed, referred to as Stacked Median Restoration plus (SMR+). The approach exploits the content redundancy in stereo pairs for detecting and fixing scratches, dust, dirt spots and many other defects in the original images, as well as improving contrast and illumination. This is done by estimating the optical flow between the images, and using it …
Accuracy of Computer-Aided Dynamic Navigation Compared to Computer-Aided Static Navigation for Dental Implant Placement: An In Vitro Study
2019
Aim: To analyze the accuracy capability of two computer-aided navigation procedures for dental implant placement. Materials and Methods: A total of 40 dental implants were selected, which were randomly distributed into two study groups, namely, group A, consisting of those implants that were placed using a computer-aided static navigation system (n = 20) (guided implant (GI)) and group B, consisting of those implants that were placed using a computer-aided dynamic navigation system (n = 20) (navigation implant (NI)). The placement of the implants from group A was performed using surgical templates that were designed using 3D implant-planning software based on preoperative cone-beam computed…
Humanoid Cognitive Robots That Learn by Imitating: Implications for Consciousness Studies.
2018
While the concept of a conscious machine is intriguing, producing such a machine remains controversial and challenging. Here we describe how our work on creating a humanoid cognitive robot that learns to perform tasks via imitation learning relates to this issue. Our discussion is divided into three parts. First, we summarize our previously-detailed framework for advancing the understanding of the nature of phenomenal consciousness. This framework is based on identifying computational correlates of consciousness. Second, we describe a cognitive robotic system that we recently developed that learns to perform tasks by imitating human-provided demonstrations. This humanoid robot uses cause-ef…