artificial intelligence research
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2022 ◽  
pp. 81-90
Author(s):  
Oleg P. Kuznetsov ◽  
Sergei O. Kuznetsov

De Musica ◽  
2021 ◽  
Author(s):  
Alessandro Bertinetto

This paper considers the issue of musical improvisational interactions in the digital era by pursuing the following three steps. 1) I will raise the question of the meaning and value of liveness, and in particular of live musical improvisation, in the age of the internet and discuss some effects of the so-called digital revolution on improvisation practices. 2) Then I will suggest that the interactions made possible by the web can be understood as kinds of live improvisational practices and I will briefly outline how such practices also involve musical improvisation. 3) Finally, I will focus on some aesthetic and philosophical aspects of new kinds of live improvisation made possible by recent progress in artificial intelligence research.


2021 ◽  
Author(s):  
Joe Zhang ◽  
Stephen Whebell ◽  
Jack Gallifant ◽  
Sanjay Budhdeo ◽  
Heather Mattie ◽  
...  

The global clinical artificial intelligence (AI) research landscape is constantly evolving, with heterogeneity across specialties, disease areas, geographical representation, and development maturity. Continual assessment of this landscape is important for monitoring progress. Taking advantage of developments in natural language processing (NLP), we produce an end-to-end NLP pipeline to automate classification and characterization of all original clinical AI research on MEDLINE, outputting real-time results to a public, interactive dashboard (https://aiforhealth.app/).


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