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Intel® AI Builders Newsletter

Intel

Welcome to the 1st edition of the Intel® AI Builders newsletter

    OCTOBER 2018

What's New?

Intel AI Builders Member Blogs

Intel® AI Builders Member Blogs

Looking for inspiration to improve your automation, efficiency, or prediction accuracy? You've come to the right place.

Our Brand New Video Collection

Our Brand New Video Collection

We're excited to introduce you to our new video channel featuring live demos, best practices, keynotes and much more. Check out the full collection in the Intel AI Builders Social Hub.

Member Spotlight

Higher Speed, Lower Cost - Taboola Chooses Intel CPUs

Higher Speed, Lower Cost – Taboola* Chooses Intel CPUs

Intel AI Builders member Taboola* has seen costs reduced and the efficiency of their existing servers increase significantly after collaborating with Intel engineers to optimize its custom TensorFlow* Serving application which lead to an overall performance improvement of 2.5x compared to baseline TensorFlow*.

Wipro Utilizes Intel AI to Automate Medical Image Classification

Wipro* Utilizes Intel AI to Automate Medical Image Classification

Wipro's* image classification demo at AI Conference in San Francisco* examined how deep learning is innovating the processing of medical images to improve patient diagnosis and showed how AI reads, segments, classifies and processes chest x-rays. The training was developed using the Intel® Optimization for TensorFlow* framework and runs on Intel® Xeon® Processors.

What Members Are Saying

Intel AI Builders is a tremendous opportunity

"Intel AI Builders is a tremendous opportunity for us to leverage the vast array of hardware and software accelerators as well as training material made available by Intel to optimize various aspects of the AI model development and testing life cycle."

— Dr. Jai Ganesh Vice President & Head
Mphasis NEXT Labs*

Resources

Calling All Intel AI Builders

Calling All Intel AI Builders

Log in to the member portal to learn about all the ways you can announce your inclusion in the Intel AI Builders program – blogs, banners, badges, microsites, podcasts, social and more!

Explore Our Solutions Library

Explore Our Solutions Library

The Intel AI Builders Solutions Library offers technical reference documentation across key verticals and use cases to help you develop and deploy AI solutions. Browse white papers and solution briefs.

Introducing Reinforcement Learning Coach 0.10.0

Introducing Reinforcement Learning Coach 0.10.0

Intel® AI Lab has released the latest Reinforcement Learning Coach, which is packed with new features and capabilities for the reinforcement learning research community. This open source research framework for training and evaluating reinforcement learning agents offers the opportunity to innovate by harnessing the power of multi-core CPU processing to achieve state-of-the-art results. We look forward to hearing about your experience. Please send feedback to coach@intel.com.

NLP Architect by Intel AI Lab: Release 0.2

NLP Architect by Intel AI Lab: Release 0.2

Intel® AI Lab released the first NLP Architect earlier this year. Since then, they have been working on new additions and improvements and recently released version 0.2 which includes new models, improvements to the library, the first of several applications based on NLP Architect models, and a set of Jupyter* Notebook tutorials. We look forward to receiving feedback, feature requests and pull request contributions from all users.

Catch us here

AIDC Beijing

AIDC Beijing

Around the globe, Intel® AI DevCon events bring together top minds in data science, machine and deep learning, application development, infrastructure architecture, and research. Visit the Intel AI Builders booth in Beijing to experience AI in action with partner demos from Lenovo*, Inspur* and more.

Supercomputing

Supercomputing

We are excited to announce that AI Builders will have two members featured at the One Intel Station at SC18*. RocketML* will demonstrate its convergence platform for HPC and AI that can be tuned for rapid experimentation on any data size, and Inspur* will demonstrate high throughput and low latency object detection with its FPGA compute acceleration engine.