Adaptive optimization methods, such as Adam and Adagrad, maintain some statistics over…
Today’s blog post is about Reinforcement Learning (RL), a concept that is very relevant to Artificial General Intelligence. The goal of RL is to create an agent that can learn to behave optimally in an environment by observing the consequences — rewards — of its own actions. By…
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…
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…
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…
Authors: Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, and Matthew Botvinick Type: Review article in Neuron Publication date: 19 July 2017
