Blog

An overview of the internals of Matroid presented at the Amazon Web Services annual conference.

Organized by Amazon and Matroid, the DEEM workshop will be held in conjunction with SIGMOD/PODS 2017 in Raleigh, North Carolina. DEEM aims to bring together researchers and practitioners at the intersection of applied machine learning, data management and systems research, with the goal to discuss the arising data management issues in ML application scenarios.

The FusionNet architecture will be presented at the NIPS 2016 workshop for 3D Deep Learning.

Our new Neural Network architecture named FusionNet is leading in the Princeton ModelNet challenge.

As Intel moves aggressively into Machine Learning, they have published an interview with Matroid.

"That openness, and continual Google updates, have lured developers like computer-vision startup Matroid, which re-wrote its software to work with TensorFlow, after building on another free AI tool called Caffe."

We are excited for the upcoming Scaled Machine Learning Conference on Stanford Campus. See the lineup at http://scaledml.org. At Matroid we have been using TensorFlow extensively, and to help the Open Source community learn more about this tool, we are running two sessions devoted to it at our company conference.

Announcing the Scaled Machine Learning Conference on Stanford University Campus, Matroid's company conference.

Leading a group of industry and academic contributors, Matroid receives the KDD 2016 Best Paper Award runner-up in the applied data science track.

Today O'Reilly released a report on the Future of Machine Intelligence. The concluding chapter is an interview with Matroid.