Relevant content for the tag: ai
Artistic style meets Artificial Intelligence
Journal Article: Journal of Perceptual Imaging, 2021
Choi, SK., DiPaola, S., Töyrylä, H. (2021). Artistic Style Meets Artificial Intelligence. Journal of Perceptual Imaging, 4(3).
Empathic AI Painter: A Computational Creativity System with Embodied Conversational Interaction
Conference Proceedings: Proceedings of Machine Learning Research (NeurIPS 2019 Competition and Demonstration Track), 2020
A multi-layer Artificial Intelligence and sensing based Affective Conversational Embodied Agent
Conference Proceedings: IEEE Computing and Intelligent Interaction (ACIIW), 2019
Empathy Framework for Embodied Conversational Agents
Journal Article: Cognitive Systems Research, (In press) 2019
Aesthetic Judgments, Movement Perception and the Neural Architecture of the Visual System
Conference Proceedings: Biologically Inspired Cognitive Architectures Meeting, August 15, 2019 2019
pp. 538-546. DOI: https://link.springer.com/chapter/10.1007/978-3-030-25719-4_70
Our affective real-time 3D AI virtual human project with face emotion recognition, movement recognition and full AI talking, gesture and reasoning.
Bringing together an interdisciplinary team, we created a wholly new AI technique to anonymize interview subjects and scenes in regular and 360 videos to create a technique that would be much better at conveying emotional and knowledge information than current anonymization techniques.
Deep Learning AI Creativity For Visuals / Words
Using Cognitive Science as a basis for our work, we attempt to model aspects of human creativity in AI. Specially we are using Neural Networks (and evolutionary systems) in the form of Deep Learning, CNNs, RNNs and other modern techniques to model aspects of human expression and creativity.
Cognitive (AI) Based Abstraction
What is abstraction? Can you use AI techniques to model the semantics of an idea, object, or entity, where that understanding allows for abstraction of the meaning? We use several AI techniques including genetic programming, Neural Nets and Deep Learning to explore abstraction in its many forms. Mainly here in the visual and narrative arts.
Evolving Creative Computer Programs w/Genetic Programming
This research uses creative evolutionary systems to explore computer creativity for various applications (in our first pass – evolving a family of abstract portrait painter programs). We use relatively new form of Genetic Programming (GP) called Cartesian Genetic Programming (CGP) first developed by Julian Miller .