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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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TZID:Europe/Paris
BEGIN:STANDARD
DTSTART:20191027T030000
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DTSTART:20200329T020000
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UID:calendar.18947.field_data.0@www.corsodrupal.uniroma1.it
DTSTAMP:20260403T195950Z
CREATED:20191108T160239Z
DESCRIPTION:Artificial intelligence (AI) is a set of hardware and software 
 systems capable of providing computing units with capabilities that\, to a
  human observer\, seem to imitate humans’ cognitive abilities. It uses an 
 assembly of nature-inspired computational methods to approximate complex r
 eal-world problems where mathematical or traditional modeling have proven 
 ineffective or inaccurate. Artificial Intelligence uses an approximation o
 f the way the human brain reasons\, using inexact and incomplete knowledge
  to produce actions in an adaptive way\, with experience built up over tim
 e.ST has been actively involved in AI research topics\, leading to the lau
 nch of its latest product in January 2019. The STM32 microcontroller portf
 olio now allows embedded developers to achieve unprecedented productivity.
  They can map and run pre-trained Artificial Neural Networks (ANN) thanks 
 to the STM32Cube.AI extension pack\, enabling AI on STM32 Arm® Cortex®-M-b
 ased MCUs.The theoretical aspects of the tutorial will be presented by Dan
 ilo Pau\, Senior Principal Engineer of STMicroelectronics and IEEE Fellow 
 and the practical sessions will be guided by Davide Giacalone\, Advanced R
 esearch Senior Engineer of STMicroelectronics. A detailed agenda of the tu
 torial is available here: https://ami2019.diag.uniroma1.it/programme The t
 utorial will include a practical session with a microcontroller board and 
 your laptop. Participants are kindly requested to make sure that the compl
 ete tool chain that will be used during the tutorial is properly installed
  on their laptop. Here is the material that you need to have installed on 
 your laptop so that you can participate: https://drive.google.com/file/d/1
 y6giZTSViy5Uj6QCzfXRATBwwDYYs_JK/view 
DTSTART;TZID=Europe/Paris:20191113T103000
DTEND;TZID=Europe/Paris:20191113T170000
LAST-MODIFIED:20230915T092645Z
LOCATION:A2
SUMMARY:Tutorial on Embedded Artificial Intelligence -
URL;TYPE=URI:http://www.corsodrupal.uniroma1.it/node/18947
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