30,394 research outputs found
Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination
We present a method for assessing skill from video, applicable to a variety
of tasks, ranging from surgery to drawing and rolling pizza dough. We formulate
the problem as pairwise (who's better?) and overall (who's best?) ranking of
video collections, using supervised deep ranking. We propose a novel loss
function that learns discriminative features when a pair of videos exhibit
variance in skill, and learns shared features when a pair of videos exhibit
comparable skill levels. Results demonstrate our method is applicable across
tasks, with the percentage of correctly ordered pairs of videos ranging from
70% to 83% for four datasets. We demonstrate the robustness of our approach via
sensitivity analysis of its parameters. We see this work as effort toward the
automated organization of how-to video collections and overall, generic skill
determination in video.Comment: CVPR 201
Creative or Not? Birds and Ants Draw with Muscle
In this work, a novel approach of merging two swarm intelligence algorithms is considered â one mimicking the behaviour of ants foraging (Stochastic Diffusion Search [5]) and the other algorithm simulating the behaviour of birds flocking (Particle Swarm Optimisation [17]). This hybrid algorithm is assisted by a mechanism inspired from the behaviour of skeletal muscles activated by motor neurons. The operation of the swarm intelligence algorithms is first introduced via metaphor before the new hybrid algorithm is defined. Next, the novel behaviour of the hybrid algorithm is reflected through a cooperative attempt to make a drawing, followed by a discussion about creativity in general and the âcomputational creativityâ of the swarm
Role of Artificial Intelligence (AI) art in care of ageing society: focus on dementia
open access articleBackground: Art enhances both physical and mental health wellbeing. The health
benefits include reduction in blood pressure, heart rate, pain perception and briefer
inpatient stays, as well as improvement of communication skills and self-esteem. In
addition to these, people living with dementia benefit from reduction of their noncognitive,
behavioural changes, enhancement of their cognitive capacities and being
socially active.
Methods: The current study represents a narrative general literature review on
available studies and knowledge about contribution of Artificial Intelligence (AI) in
creative arts.
Results: We review AI visual arts technologies, and their potential for use among
people with dementia and care, drawing on similar experiences to date from
traditional art in dementia care.
Conclusion: The virtual reality, installations and the psychedelic properties of the AI
created art provide a new venue for more detailed research about its therapeutic use in
dementia
A short history off-line
Emerging technologies for learning report - Article exploring the history of ICT in education and the lessons we can learn from the pas
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