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AI DevCamp:Chicago I write this as an observer of something I had yet to witness. Early in the morning of April 7th, facing bitter cold and a lack of coffee, roughly 200 developers and students entered TechNexus in downtown Chicago. They were brought there by the same reason I was there, the idea of something new,...
Spark SQL Adaptive Execution at 100 TB By: Carson Wang, Yucai Yu, Chenzhao Guo, Hao Cheng (Intel), Yuanjian Li (Baidu)
Intel® Math Kernel Library (Intel® MKL) 2019 Beta Release Notes   This document provides a general summary of new features and important notes about the Intel® Math Kernel Library (Intel® MKL) software product. Please see the following links to the online resources and documents for the latest information regarding Intel MKL:
Part 2: Build a Basic Neural Network Model with BigDL
02/13/18

Learn how you can build a simple model and use sample dataset to train your model.

Part 1: How to Deploy BigDL as a Docker* Container or Virtual Machine
02/13/18

Learn how easy it is to get started with BigDL on Apache Spark*.

Industry 4.0 - Making IIoT a semi-automatic machinery #1   Statement The Internet of Things (IoT) is changing everything, including ourselves and our habits; just think about the impact the internet had in instruction, communication, economy, science and public administration fields, so clearly it’s about one of the most resounding inventions in...
Accelerating Deep Learning Training with BigDL and Drizzle on Apache Spark* In recent years, the scale of datasets and models used in deep learning has increased dramatically. Although larger datasets and models can improve the accuracy in many artificial intelligence (AI) applications, they often take much longer to train on a single machine.
Missed the Intel® AI Academy DevJam? Here are the Top Four Highlights The evening before the Dec. 4-9, 2017 Neural Information Processing Systems (NIPS) Conference, hundreds of students, professors, data scientists and developers packed into The Westin Long Beach for the Intel® AI Academy DevJam.