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Hello everyone! I am Abdelrahman Ahmed (or Abdel for short) and I joined the Project AGI team as a Research Assistant a few months ago. I thought it would be a good time to tell you more about myself and what I am working on at Project AGI. Who am I? Originally from Egypt, I…
One of the features of our brain is its modularity. It is characterised by distinct but interacting subsystems that underlie key functions such as memory, language, perceptions, etc. Understanding the complex interplay between these modules requires decomposing them into a set of components. Indeed, this modular approach to modeling the brain is one of the…
The standard machine learning approach is to learn to accomplish a specific task with an associated dataset. A model is trained using the dataset and is only able to perform that one task. This is in stark contrast to animals which continue to learn throughout life and accumulate and re-purpose knowledge and skills. The…
1. Neuroscience-inspired Artificial Intelligence Authors: Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, and Matthew Botvinick Type: Review article in Neuron Publication date: 19 July 2017 This paper outlined the contribution of neuroscience to the most recent advances in AI and argued that the study of neural computation in humans and other animals could provide useful (albeit…
We attended the 2017 10th Conference on Artificial General Intelligence, which was located in our hometown of Melbourne, Australia! Excitingly, the IJCAI 2017 conference is also in Melbourne this week and ICML 2017 was in Sydney this year. In particular, the “Architectures for Generality and Autonomy” workshop may be of interest to readers. You can find…
We’re very excited to launch AGI Experimental Framework, AGIEF, our open source framework. We first introduced it a while back, at the end of 2015 here, and it has certainly come a long way. AGIEF was created to make running rigorous AI experiments convenient, reproducible and scalable. The goals are: Repeatability: ability to save/load, stop/start…
Our brain is a source of great inspiration for the development of Artificial General Intelligence. In fact, one of the common views is that any effort in developing human-level AI is almost destined to fail without an intimate understanding of how the brain works. However, we do not understand our brain that well yet. But…
Today’s post tries to fit the theoretical concept of Predictive Coding with the unusual structure and connectivity of Pyramidal cells in the Neocortex. Pyramidal neurons Pyramidal neurons are interesting because they are one of the most common neuron types in the computational layers of the neocortex. This almost certainly means they are critical to many…
Hello everyone! I am Yi-Ling and I am the newest member of the AGI project team. It is an incredibly exciting time to be dipping one’s toes in the field of Artificial Intelligence, given the impressive progress and explosion of AI applications in recent years. In my case, I am actually going to dive in…
In our most recent post we discussed the current set of experiments that we are conducting, using the MNIST dataset. We’ve also been looking at the NIST dataset which is similar, but extends to handwritten letters (as well as digits). These are extremely popular datasets and freely available, so make a great choice for testing…