Diego Oppenheimer

Diego Oppenheimer

Recent Posts

November 16, 2017

DevOps for AI - The AI Layer

When Google's Gradient Ventures invested in us, they did so with an understanding that it is incredibly hard to deploy AI/ML infrastructure -- and that every dev team is going to need to solve this problem.
Our solution, the AI Layer, is the best-in-class architecture.As our co-founder, Kenny...
June 23, 2017

Algorithmia Raises Series A Funding

To our users,

Today we are excited to announce that Algorithmia has completed a Series A financing of $10.5M led by Google's new fund focused on AI and machine learning investments with the participation of Madrona Venture Group, Rakuten Ventures, Osage University Partners, and Work-Bench.

...

April 06, 2017

Machine Learning with Humans in the Loop

TL;DR The most accurate machine learning systems to date are those that use a "human-in-the-loop" computing paradigm.

Though we have seen huge advances in the quality and accuracy of pure machine-driven systems, they tend to fall short of acceptable accuracy rates. The combination of...

March 20, 2017

Making University Research Discoverable and Accessible

One of the most rewarding parts of working at Algorithmia is that we get to collaborate with amazing university researchers across the globe.

Last May, Richard Zhang, Philip Isola, and Alexei A. Efros from the University of Berkeley Vision Lab published their work "Colorful Image Colorization."...

January 16, 2017

Introduction to Twitter Topic and Sentiment Analysis

With over 317 million active users a month, Twitter has become a wealth of data for those trying to understand how people feel about brands, topics, and more. Mining Twitter data for insights is one of the most common natural language processing tasks.

December 28, 2016

Year In Review: Looking Back At Algorithmia's Banner Year

Dear Friends of Algorithmia,

Every year we like to take a small step back and reflect on what we achieved in 2016. Last year we went from private beta to a top Seattle startup.

2016, as we hoped it would be, was a big year for us. We provided more than 30,000 developers with access to over 2,700...

November 28, 2016

Introducing Our AWS AMI and DeepFilter Training Pipeline

There’s been a lot of talk about style transfer lately. Google’s Supercharging Style Transfer research and Facebook’s video style transfer demo are just two examples.

At Algorithmia, we believe in democratizing access to state of the algorithms. That's why we’re excited to provide an AWS AMI and...

November 28, 2016

Getting Started with Neural Style Transfer from the Command Line

Want a fun way to quickly convert photos and images into the style of masterpiece paintings and drawings?

The deep learning technique called style transfer is a fun way of reimagining one image in the style of another.

July 14, 2016

Turn Your Deep Learning Model into a Serverless Microservice

Introducing Cloud Hosted Deep Learning Models

At Algorithmia, we believe in democratizing access to state-of-the-art algorithmic intelligence. That’s why we’re introducing a solution for hosting and distributing trained deep learning models on Algorithmia using GPUs in the cloud.

Today,...

February 22, 2016

How the Algorithm Economy and Containers are Changing the Way We Build and Deploy Apps Today

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