Name: IML Machine Learning Working Group Meeting - Hardware
Start: 2016-11-23T15:00:00+01:00
End: 2016-11-23T17:00:00+01:00
Location: CERN

- 15:00 → 15:15
  
  News and group updates 15m
  
  Speakers: Lorenzo Moneta (CERN), Michele Floris (CERN), Paul Seyfert (Universita & INFN, Milano-Bicocca (IT)), Dr Sergei Gleyzer (University of Florida (US)), Steven Randolph Schramm (Universite de Geneve (CH))
  
  20161123_IML_news.pdf
- 15:15 → 15:30
  
  Update on ML regression and application to hardware 15m
  
  Speaker: Andrew Mathew Carnes (University of Florida (US))
  
  bdt_done_with_loss_functions_hardware_pres.pdf
- 15:30 → 15:45
  
  Convolutional Neural Network Implementation on FPGAs for HEP 15m
  
  Slides available upon request (l.flekova@gmail.com)
  
  Speakers: Lucie Flekova (Czech Technical University (CZ)), Lucie Flekova (TU Darmstadt)
- 15:45 → 16:00
  
  Experience with Hybrid Intel Xeon/FPGA System 15m
  
  Speaker: Christian Faerber (CERN)
  
  Experience with Hybrid Intel XeonFPGA System.pdf
- 16:00 → 16:20
  
  Simplified Deep Learning Framework with DAL Library and OpenCL towards Hardware Applications 20m
  
  Speaker: David Nonso Ojika (University of Florida (US))
  
  Building a Simplified Deep Learning Framework through DAAL and OpenCL.pdf
  
  Building a Simplified Deep Learning Framework through DAAL and OpenCL.pptm
- 16:20 → 16:40
  
  Overview of available neuromorphic computing architectures 20m
  
  Speaker: Karlheinz Meier (Ruprecht-Karls-Universitaet Heidelberg (DE))
  
  KM-ML-CERN-11-2016.pdf
- 16:40 → 16:41
  
  Minutes 1m
  
  IML-2016-11-23-minutes.txt

IML Machine Learning Working Group Meeting - Hardware

500/1-001 - Main Auditorium

CERN