Showing 11 to 20 of 46 posts.

Slides and Videos from ScaledML 2018

Posted on February 19th, 2018 by Reza

We had a fantastic gathering of 700 researchers and engineers, all learning about Scaling ML along different dimensions. Slides, videos, and photos of the event are included below.


Matroid raises $10 million Series A co-led by Intel and NEA

Posted on September 12th, 2017

Matroid has raised $10 million Series A co-led by Intel and NEA, bringing funding to $13.5M, following a $3.5M seed round from NEA. We are excited to work with Intel and NEA to continue bringing Computer Vision to everyone. Join us! We are hiring at


Wired Article Discussing Matroid Detectors

Posted on December 3rd, 2018

What do a patent application drawing for troll socks, a cartoon scorpion wearing a hard hat, and a comic about cat parkour have in common? They were all reportedly flagged by Tumblr this week after the microblogging platform announced that it would no longer allow NSFW content. Wired discusses the drawbacks of using Computer Vision without exports to help.


The Scaled Machine Learning Conference 2018

Posted on January 20th, 2018 by Reza

Join us & the creators of TensorFlow, Caffe, Keras, Spark, CUDA, MapReduce, OpenAI, & others, giving talks at The Scaled Machine Learning Conference 2018.

Where: CEMEX Auditorium, Stanford University
When: March 24th, 8:45am - 6pm


The Internet Archive creates face-o-matic, powered by Matroid

Posted on July 15th, 2017 by Reza

Today the Internet Archive announced "Face-o-matic", to identify prominent public figures in TV channels aired across the world.


Scaled ML 2017 Slides and Pictures

Posted on March 25th, 2017 by Ryan

The Scaled Machine Learning 2017 Conference Slides.


Matroid Press Coverage

Posted on June 24th, 2017 by Reza

Matroid has been covered by The Wall Street Journal, Bloomberg, MIT Technology Review, TechCrunch, BBC, Seattle Times, Register, CNBC, and many others.


Matroid presented at Fermilab Special Colloquium

Posted on May 29th, 2017 by Reza

Matroid was presented at the Fermilab special colloquium on May 9th. Slides and a video of the talk are available on the Fermilab lab colloquium page.


The Hard Thing about Deep Learning

Posted on November 16th, 2016 by Reza

In this post, I explore the “hardness” in optimizing neural networks and see what the theory has to say. In a nutshell: the deeper the network becomes, the harder the optimization problem becomes.


First Two Chapters of "TensorFlow for Deep Learning" Released

Posted on April 10th, 2017 by Reza

First Two Chapters of "TensorFlow for Deep Learning" Released, head over to the O'Reilly website to download your copy. A PDF of the first two chapters is also available exlusively via Matroid here.