March 26th, 2018

Come meet the Makers!

Category: Data Science, Driverless, Driverless AI, Events, H2O4GPU
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NVIDIA’s GPU Technology Conference (GTC) Silicon Valley, March 26-29th is the premier AI and deep learning event, providing you with training, insights, and direct access to the industry’s best and brightest. It’s where you will see the latest breakthroughs in self-driving cars, smart cities, healthcare, high-performance computing, virtual reality and more, and all because of the power of AI. H2O.ai will be there in full force to share how you can immediately gain value and insights from our industry-leading AI and ML platforms. In case you hadn’t heard, H2O.ai was named a leader in 2018 Gartner Magic Quadrant for Data Science and Machine Learning platforms. You can get the report here.
Please visit us at booth #725 to see Driverless AI in action and talk to the Makers leading the AI movement! Our sessions will be leading edge talks that you won’t want to miss.

  1. Ashrith Barthur – Network Security with Machine Learning
    Ashrith will speak about modeling different kinds of cyber attacks and building a model that is able to identify these different kinds of attacks using machine learning.
    Room 210F – Wednesday, 28 March, 9 AM to 9:50 AM.
  2. Jonathan McKinney – World’s Fastest Machine Learning with GPUs
    Jonathan will introduce H2O4GPU, a fully featured machine learning library that is optimized for GPUs with a robust python API that is a drop dead replacement for scikit-learn. He will demonstrate benchmarks for the most common algorithms relevant to enterprise AI and will showcase performance gains as compared to running on CPUs.
    Room 220B – Thursday, March 29, 11 AM to 11:50 AM.
  3. Arno Candel – Hands-on with Driverless AI
    In this lab, Arno will show how to install and start Driverless AI, the automated Kaggle Grandmaster in-a-box software, on a multi GPU box. He will go through the full end-to-end workflow and showcase how Driverless AI uses the power of GPUs to achieve 40x speedups on algorithms that in turn allow it run thousands of iterations and find the best model.
    Room LL21C – Thursday, March 29, 4 PM to 6 PM.

Can’t make it to the event? Schedule a time to talk to one of our makers!

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