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AI Suggests Recipes Based on Food Photos

There are few things social media users love more than flooding their feeds with photos of food. Yet we seldom use these images for much more than a quick scroll on our cellphones. Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) believe that analyzing photos like these could help us learn recipes and better understand people’s eating habits.

CASK Data Application Platform Moves Forward

In this video from the DataWorks Summit 2017 conference in San Jose (June 13-15, 2017), insideBIGDATA’s Managing Editor and resident data scientist Daniel D. Gutierrez chats with Nitin Motgi, Founder/CTO at CASK Data.

Hitachi Solutions Powers Big Data with R

In this video from the EARL 2017 conference in San Francisco (June 5-7, 2017), insideBIGDATA’s Managing Editor and resident data scientist Daniel D. Gutierrez chats with David Bishop, SVP – Head of R&D, Hitachi Solutions America.

How R Powers Data Science at Microsoft

In this video “How R Powers Data Science at Microsoft” from the EARL 2017 conference in San Francisco (June 5-7, 2017), insideBIGDATA’s Managing Editor and resident data scientist Daniel D. Gutierrez chats with Vijay K. Narayanan – Director, Algorithms and Data Science Solutions, Microsoft.

Building a Machine Learning Platform at Quora

In this MLconf SF 2016 talk “Building a Machine Learning Platform at Quora,” Nikhil Garg, Engineering Manager at Quora, discusses the core ideas behind his company’s machine learning platform, as well as some of the specific systems, tools, and abstractions that have enabled the company to scale their approach to machine learning.

Interview: Patrick Moakley, Director of Marketing for HPC & AI at Lenovo

I recently caught up with Patrick Moakley, Director of Marketing for High Performance Computing (HPC) & Artificial Intelligence (AI) at Lenovo, to get his insights about this fast paced industry. Please view the video interview below to hear what Pat has to say.

Dr. Eng Lim Goh on New Trends in Big Data and Deep Learning for Artificial Intelligence

In this video from SC16, Dr. Eng Lim Goh from HPE/SGI discusses new trends in HPC Energy Efficiency and Deep Learning for Artificial Intelligence. “Recently acquired by Hewlett Packard Enterprise, SGI is a trusted leader in technical computing with a focus on helping customers solve their most demanding business and technology challenges.”

Skytree Patented Automation Gets Smarter and Enables Us to Deliver Machine Learning as a Service with the Release of Skytree 16.0

Skytree, a leader in enterprise machine learning on big data, announces the release of Skytree 16.0 and Skytree’s Machine Learning as a Service offering. We continue our trend of increasing ease of use via unprecedented automation, further enabling non-data scientist users to access the power of enterprise grade machine learning, gain insights, and to add value to their business.

Deep Learning by Yann LeCun

The Institute for Scientific Computing Research (ISCR) sponsored the talk below entitled “Deep Learning” on April 16, 2015, at the Lawrence Livermore National Laboratory. The talk was presented by Yann LeCun, director of AI research at Facebook and professor of data science, computer science, neural science and electrical engineering at NYU.

Personalization and Scalable Deep Learning with MXNET

The presentation below by Alex Smola is “Personalization and Scalable Deep Learning with MXNET” from the MLconf San Francisco, 2016. User return times and movie preferences are inherently time dependent. In this talk, Alex shows how this can be accomplished efficiently using deep learning by employing an LSTM (Long Short Term Model). Moreover, he shows how to train large scale distributed parallel models using MXNet efficiently.