Peeking into the Neural Network Black Box

If you have ever come in touch with neural networks, you are probably familiar with the black box problem [1, 2]. Compared to many other algorithms from the glass box…
Does Adding One Neuron Help Real World Networks?

Does Adding One Neuron Help Real World Networks?

Our researcher, Tonda Hoskovec, has long been thinking about the behavior of neural network training in the case of non-convex tasks with many local minima. This makes training difficult or…
The Future of Data Capture Systems (2/2): The Rossum Approach

The Future of Data Capture Systems (2/2): The Rossum Approach

This is the second part of our special founders blog post on data capture technology and how Rossum represents a radically different approach to the whole problem of information extraction…
Building Our Own Version of AlphaGo Zero

Building Our Own Version of AlphaGo Zero

At Rossum, we are building artificial intelligence for understanding of documents. Our main line of attack lies in supervised machine learning, the most efficient approach to make neural networks achieve…
Data Hackathon at our Prague Lab

Data Hackathon at our Prague Lab

At Rossum, we just talked about how critical data is for machine learning and for us specifically. At the same time, we’d like to think we are doing some pretty…