Filters

Article

Caffe* Training on Multi-node Distributed-memory Systems Based on Intel® Xeon® Processor E5 Family

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
Authored by Gennady F. (Blackbelt) Last updated on 07/05/2019 - 14:54
Article

Caffe* Optimized for Intel® Architecture: Applying Modern Code Techniques

This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
Authored by Last updated on 07/06/2019 - 16:40
Blog post

SHEPHERD: Just when I thought I was out... they pull me back in

Don't get me wrong, I was a quite willing participant with all of this. 

Authored by Last updated on 07/10/2018 - 08:08
Article

Machine Learning and Knowledge Reasoning Probing with Intel® Architecture

This article presents a performance test of Intel® tuning platform composed by Intel® processor, Intel® C++ Compiler XE and Intel® Math Kernel Library (Intel® MKL) applied to usual AI problems, with two existing approaches of artificial intelligence probed.
Authored by Flavio Luis de Mello Last updated on 01/24/2018 - 15:35
Blog post

Track Reconstruction with Deep Learning at the CERN CMS Experiment

Connecting the Dots
Authored by Last updated on 12/12/2018 - 18:00
Blog post

Track Reconstruction with Deep Learning at the CERN CMS Experiment

This blog post is part of a series that describes my summer school project at CERN openlab.

Authored by Last updated on 03/21/2019 - 12:00
Blog post

Top Ten Intel Software Developer Stories | October

Learn to build a face access control solution, get horrified in a haunted high school, and be sure to register for the Intel® HPC Developer Conference this month.
Authored by Carman, Vicky (Intel) Last updated on 02/05/2019 - 10:48
Article

Deep Learning for Cryptocurrency Trading

A new potential use case of deep learning is the use of it to develop a Cryptocurrency Trader Sentiment Detector. I am currently developing a Sentiment Analyzer on News Headlines, Reddit posts, and Twitter posts by utilizing Recursive Neural Tensor Networks (RNTN) to provide insight into the overall trader sentiment.
Authored by Tejeswar T. Last updated on 05/08/2019 - 15:30
Blog post

Top Ten Intel Software Developer Stories November

Announcing new IoT developer kits this month along with tips on which processor is right for your VR projects.
Authored by Carman, Vicky (Intel) Last updated on 06/24/2019 - 11:30
Blog post

Autodesk University Shows How Intel Technology Powers 3D Design & Engineering Software

At the Autodesk University event in Las Vegas, November 14-16, civil and commercial/industrial designers and manufacturers who use Autodesk software came together to see The Future of Making Things.
Authored by Tim Allen. (Intel) Last updated on 03/21/2019 - 12:08