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DTSTART:19700308T020000
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DTSTAMP:20260522T150124Z
LOCATION:Exhibit Hall B
DTSTART;TZID=America/Chicago:20181114T153000
DTEND;TZID=America/Chicago:20181114T161500
UID:submissions.supercomputing.org_SC18_sess228_inv112@linklings.com
SUMMARY:ABCI – Envisioning High Performance Human-Centered AI for Industry
DESCRIPTION:Satoshi Sekiguchi (National Institute of Advanced Industrial S
 cience and Technology (AIST))\n\nArtificial intelligence (AI) is leading t
 he world’s industrial revolution in relation to IoT, Big Data, Robot, adva
 nced biotechnology, new manufacturing industry, and so on. Although there 
 is an ongoing discussion of the AI singularity, there is a more immediate 
 need to focus on practical applications of AI. In these applications, AI c
 an be defined as sensors coupled with deep learning, which can substitute 
 for some human sensory functions.\n\nThus, AI will relieve workers from th
 e burden of some physically or mentally intensive tasks. AI algorithmic te
 chniques have developed dramatically with a high dependence on big data so
 urces as training data. More importantly, at a a practical level, I will h
 ighlight contributions from HPC technology that are indispensable for lear
 ning. Until now, we have supported AI as a system, but cooperation between
  HPC applications and machine learning will intensify and become a very im
 portant factor in the future of AI.\n\nAIST is constructing one of the wor
 ld’s largest AI focused, open, and public computing infrastructure called 
 ABCI (AI Bridging Cloud Infrastructure). It will support not only industri
 al AI applications to be deployed for use in society, but also academic AI
  research. To facilitate this, we are connecting ABCI to a global, high-sp
 eed network research platform to enhance AI research with a broad number o
 f institutions. One of the first grand challenge projects we are supportin
 g is mapping whole brain-scale signal integration events in zebrafish. Thi
 s will open the possibility of creating novel, neural deep learning archit
 ectures of the fish brain to be used in a wide variety of applications inc
 luding robotics, sensor design, and behavioral sciences.\n\nABCI will be o
 perational shortly in 2018 and will serve as a reference architecture for 
 data centers combining HPC and AI to discover new innovations in the futur
 e.\n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\nS
 ession Chair: Katherine Yelick (Lawrence Berkeley National Laboratory)\n\n
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