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BEGIN:VEVENT
DTSTAMP:20211208T164413Z
LOCATION:Level 2 - Lobby
DTSTART;TZID=America/Los_Angeles:20211208T180000
DTEND;TZID=America/Los_Angeles:20211208T190000
UID:dac_DAC 2021_sess243_WIP204@linklings.com
SUMMARY:FASCINET: Fully Automated Single-Board Computer Generator Using a 
 Neural Network Based Datasheet Scrubber
DESCRIPTION:Networking Reception, Work-in-Progress Poster\n\nFASCINET: Ful
 ly Automated Single-Board Computer Generator Using a Neural Network Based 
 Datasheet Scrubber\n\nFayazi\n\nDesigning Single-Board Computers (SBCs) is
  becoming more challenging given the growing number of discrete IPs that a
 re made available. The procedure of deciding Peripheral Circuits (PC) conf
 igurations, determining their elements values is complicated and time-cons
 uming. An SBC generation tool is proposed that uses a NN to design PCs for
  SBCs given their main components. The proposed tool reduces the time for 
 generating the schematic of an SBC to two minutes. The tool creates a larg
 e DB of IPs datasheets. We propose a novel NN-based approach for automatic
 ally categorizing datasheets and a technique for extracting functional inf
 ormation from their tables.\n\nVirtual Program: Presented In-Person
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