Lenovo 2018 AI Challenge brings best and brightest to SC18

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We are pleased to report that the Lenovo AI Challenge has chosen outstanding researchers in the Machine Learning arena to receive an all-expenses-paid trip to SC18.

The winning researchers will have the opportunity to share their work with the world through a presentation in the Lenovo SC18 booth and videos of their presentations that will live forever.

The Lenovo AI Challenge winners this year include:

  • Steve Oatley, University of Nottingham, who will be discussing his work in using AI to accelerate drug discovery on Wednesday 11/14 at 11:15 am.
  • Dr. Andreas Goetz, University of California, San Diego, will present his work on using Machine Learning with molecular dynamics and quantum chemistry on Wednesday 11/14 at 1:15 pm.
  • Thomas Langford, Yale University, will present his work on HPC Analysis and Simulations in Neutrino Physics on Wednesday 11/14 at 5:45 pm.
  • Julita Crobalan, Barcelona Supercomputing Center, will explain the EAR Software Platform Development effort on Tuesday 11/13 at 4:45 pm.
  • Dr. Raju Vatsavai, North Carolina State University, will talk about how he is coupling Deep Learning with remote sensing imagery on Monday at 8:45 pm .
  • Matthew Martinez, New Mexico State University, will present his work on using Deep Learning and Machine Learning to predict elderly adults’ risk of falling on Thursday 11/15 at 11:45 am.
  • Dr. Chumpol Ngamphiw, from the National Center for Genetics Engineering & Biotechnology, will discuss his work with AI, Genomics and Precision Medicine on Wednesday 11/14 at 4:45 pm.
  • Jian Ren, Rutgers University, will discuss his work with Deep Learning when applied to Computer Visioin and Medical Image Analysis on Tuesday at 2:00 pm.

Each of the above presentations will be hosted at the Lenovo booth #3617 on the SC18 show floor in Dallas next week.

Learn more about the 2017 AI Challenge presentations