October 28–31, 2019
Joseph Paul Cohen

Joseph Paul Cohen
Postdoctoral Fellow, Mila | University of Montreal


Joseph Paul Cohen is a postdoctoral fellow with Yoshua Bengio at Mila and the University of Montreal. Joseph leads the medical research group at Mila, focusing on computer vision, genomics, and clinical data. He holds a PhD in computer science and machine learning from the University of Massachusetts Boston. His research interests include healthcare, bioinformatics, machine learning, computer vision, ad hoc networking, and cybersecurity. Joseph received a US National Science Foundation Graduate Fellowship as well as an IVADO Postdoctoral Fellowship. He’s the director of the Institute for Reproducible Research, which is dedicated to improving the process of scientific research using technology.


10:00am10:15am Thursday, October 31, 2019
Location: Mission City Ballroom
Sandeep Gupta (Google), Joseph Paul Cohen (Mila | University of Montreal)
Average rating: ****.
(4.00, 2 ratings)
JavaScript is the most widely used programming language in the world, and with TensorFlow.js, you can bring the power of TensorFlow and machine learning to your JavaScript application. Sandeep Gupta and Joseph Paul Cohen introduce the TensorFlow.js library and showcase the amazing possibilities of combining machine learning with JavaScript-based web, mobile, and server-side applications. Read more.
2:30pm3:10pm Thursday, October 31, 2019
Location: Great American Ballroom J/K
kangyi zhang (Google), Brijesh Krishnaswami (Google), Joseph Paul Cohen (Mila | University of Montreal), Brendan Duke (ModiFace)
Kangyi Zhang, Brijesh Krishnaswami, Joseph Paul Cohen, and Brendan Duke dive into the TensorFlow.js ecosystem: how to bring an existing machine learning model into your JavaScript (JS) app, retrain the model with your data, and go beyond the browser to other JS platforms with live demos of models and featured apps (WeChat virtual plugin from L’Oréal and a radiology diagnostic tool from Mila). Read more.
  • O'Reilly
  • TensorFlow
  • Google Cloud
  • IBM
  • Databricks
  • Tensor Networks
  • VMware
  • Amazon Web Services
  • One Convergence
  • Quantiphi
  • Lambda Labs
  • Tech Mahindra
  • cnvrg.io
  • Determined AI
  • Inferencery
  • Manceps, Inc.
  • PerceptiLabs
  • Valohai

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