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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 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 matroid.com/careers

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.

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
Details: http://scaledml.org

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

The Scaled Machine Learning 2017 Conference Slides.

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

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.

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, 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.