Blog

GoodAI’s ToyArchitecture published in PLOS ONE

May 20, 2020 Research Technical blogs

Research in Artificial Intelligence (AI) has focused mostly on two extremes: either on small improvements in narrow AI domains, or on universal theoretical frameworks which are often uncomputable, or lack practical implementations.

Internal Badger Workshop – Summary

May 07, 2020 Research Technical blogs

We recently organized an internal workshop with a number of external collaborators to advance the progress of various challenging topics related to the Badger architecture. In this post, we would like to share the posed questions and the outcomes of the nine.

5 ways COVID-19 is changing the future

May 04, 2020 AI Policy and Society

The emergence and global spread of COVID-19 has already changed the world in ways that were unimaginable at the start of the year. However, in many areas, it seems to have sped up changes that were on the horizon anyway.

Distributed Evolutionary Computation on Deep Reinforcement Learning Tasks

April 30, 2020 Research Technical blogs

Currently, we are experimenting with an experimental setup proposed in our Badger paper. One of the areas of explorations is an evaluation of suitability of various training settings: supervised learning, Deep Reinforcement Learning (RL), and evolutionary optimization.

9 ways AGI could shape the world for the better

April 20, 2020 AI Policy and Society

The idea of general AI has long captured the imagination of people across the world. But what would society and the economy look like in a world with general AI?

Neural Networks in Unity using Native Libraries

March 11, 2020 Research Technical blogs

This guide shows how to use Pytorch’s C++ API to use neural networks in Unity. We can use this with existing Python-based models, by freezing the execution trace into a binary file that is loaded by the library at runtime.

Implementation of Generative Teaching Networks for PyTorch

March 11, 2020 Research Technical blogs

At GoodAI, we’re interested in multi-agent architectures that can learn to rapidly adapt to new and unseen environments we expect the behavior and adaptation to be learned through communication of homogeneous units inside a single agent, allowing for better generalization.

GoodAI represents the Czech Republic at the first OECD Network of Experts on AI

March 10, 2020 AI Policy and Society

Recently the Organisation for Economic Co-operation and Development (OECD) organized the first meeting of OECD Network of Experts on AI (ONE AI) in Paris, where Marek Havrda, GoodAI’s AI Policy and Social Impact Director, presented a plan for practical AI.