Articles tagged with Computational Creativity
A reconfigurable optical computing platform based on a double-layer liquid crystal structure has been developed to enable multifunctional all-optical image processing. The platform integrates eight types of image processing functions in one go, including bright-field imaging, vortex filtering and edge enhancement, promising substantial...
Researchers found that AIs consistently converged on 12 common themes despite diverse prompts, suggesting biases in training data. The models failed to generate novel or creative outputs, highlighting the need for anti-convergence mechanisms and human input for AI's creative potential.
Researchers at KAIST have developed a technology to enhance creative generation of AI generative models like Stable Diffusion, generating novel and useful images. The algorithm amplifies internal feature maps to boost creativity without new training, outperforming existing methods in novelty and utility.
Skia identifies and decodes shadow branches, storing them in a memory area to alleviate bottlenecks and improve throughput. The technique can lead to quicker performance and less power consumption for data centers.
A study by Aarhus University researchers found that expert jazz musicians store linked audio and motor representations in the brain, which are drawn upon to create improvisations. These improvisation vocabularies vary between players and exhibit stylistically appropriate and novel characteristics, hallmarks of creativity.
Researchers at the University of Kent have identified 14 components of creativity using language-analysis software. These clusters can be used to evaluate the creativity of computational systems and provide a basis for the automated evaluation of creative systems.