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Lenovo 2018 AI Challenge brings best and brightest to SC18

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

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