Blog

The "TensorFlow for Deep Learning" Book has been released with code examples on the Matroid Github.

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.

A gigantic shift in computing is about to dawn upon us, one that is as significant as only two other moments in computing history. First came the “desktop era” of computing, powered by central processing units (CPUs), followed by the “mobile era” of computing, powered by more power-efficient mobile processors. Now, there is a new computing stack that is moving all of software with it, fueled by artificial intelligence (AI) and chips specifically designed to accommodate its grueling computations.

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

The creators of TensorFlow, Kubernetes, Apache Spark, Keras, Horovod, Allen AI, Apache Arrow, MLPerf, OpenAI, Matroid, and others will lead discussions about running and scaling machine learning algorithms on a variety of computing platforms, such as GPUs, CPUs, FPGAs, TPUs, & the nascent AI chip industry.

We are excited to announce that Matroid has been named a “Cool Vendor” by Gartner, Inc.

This post originally appeared on the Oracle blog and is reproduced here with permission:  Part 1, Part 2, Part 3

We are proud to announce our partnership with HP to run Matroid On-Premise on HP machines.

Two Turing Award Winners, the creators of TensorFlow, PyTorch, Spark, Caffe, TensorRT, OpenAI, and others will lead discussions about running and scaling machine learning algorithms on a variety of computing platforms, such as GPUs, CPUs, TPUs, & the nascent AI chip industry.

Cheap storage, ubiquitous connected cameras, and an explosion of user generated content have led to an exponential increase in the amount of visual media on the internet and company servers. Unfortunately, the tools to explore this content have lagged behind: the images and videos are there, but how do you find what you’re looking for?