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We send probes into the topic hypercube bounded by machine learning, parallelism, software and contests, demonstrate existing and sketch future Lisp infrastructure, pin the future and foreign arrays down.
We take a seemingly random walk along the different paths, watch the scenery of pairwise interactions unfold and piece a puzzle together. In the purely speculative thread, we compare models of parallel computation, keeping an eye on their applicability and lisp support. In the the Python and R envy thread, we detail why lisp could be a better vehicle for scientific programming and how high performance computing is eroding lisp's largely unrealized competitive advantages. Switching to constructive mode, a basic data structure is proposed as a first step.
In the machine learning thread, lisp's unparalleled interactive capabilities meet contests, neural networks cross threads and all get in the way of the presentation.
6 mai 2014 30 min
6 mai 2014 51 min
Massimiliano Ghilardi
6 mai 2014 30 min
Sergio Alvarez-Napagao
6 mai 2014 31 min
Franco Raimondi, Giuseppe Primiero
6 mai 2014 29 min
Pedro Ramos
6 mai 2014 25 min
Jean-Paul Barthès
6 mai 2014 33 min
Kai Selgrad
6 mai 2014 33 min
Numerous Lisp-based musical systems have been developed and used in the past. However, Lisp usage has been progressively discontinued with the development of new branches in mainstream computer music such as digital signal processing, real-
6 mai 2014 01 h 30 min
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Institut de Recherche et de Coordination Acoustique/Musique
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