Applied Research

We solve machine learning challenges

Fomoro AI is a machine learning consultancy with a unique approach to solving hard problems by combining cutting edge research with expert engineering. We enable companies to understand and improve their machine intelligence capabilities.

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Danielle Swank

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Projects

Research Projects

Some of our public-facing research projects. While most of our work is for our clients, we frequently experiment with new technologies, and when possible we open-source.

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Receptive Field Calculator

Tool to compute the effective receptive field of a convolutional layer.

Tool to compute the effective receptive field of a convolutional layer.

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Counting MNIST

A simple synthetic dataset and baseline model for visual counting.

A simple synthetic dataset and baseline model for visual counting.

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Fomoro AI Blog

Articles

Check out our articles on history, trends, research and thoughts on machine learning.

TensorFlow on Kubernetes
Code

TensorFlow on Kubernetes

Hierarchical RNNs
Theory

Hierarchical RNNs

Numerai Competition
Process

Numerai Competition

TD-Gammon
Theory

TD-Gammon

An LSTM Odyssey
Theory

An LSTM Odyssey

Highway Networks
Theory

Highway Networks

TensorFlow from Node.js
Code

TensorFlow from Node.js

TensorFlow from C++
Code

TensorFlow from C++

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Fomoro AI Team

Meet the Team

Andrew Wang
Sam Wenke
Roz King
Jim Fleming
Danielle Swank
Eddie Costantini
Mike Qiu
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Thought Leaders

We Work With

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Work with Us

We work with companies ranging from startups with interesting data to enterprises with large-scale challenges.

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Featured Project

Counting MNIST

A simple synthetic dataset and baseline model for visual counting.


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