Browsing: Google DeepMind
In this lecture, DeepMind Research Scientist Marta Garnelo focuses on sequential data and how machine learning methods have been adapted…
This lecture, by DeepMind Research Scientist Felix Hill, first discusses the motivation for modelling language with ANNs: language is highly…
Attention and memory have emerged as two vital new components of deep learning over the last few years. This lecture…
Generative adversarial networks (GANs), first proposed by Ian Goodfellow et al. in 2014, have emerged as one of the most…
Unsupervised learning is one of the three major branches of machine learning (along with supervised learning and reinforcement learning). It…
It’s no secret that the gender gap still exists within STEM. Despite a slight increase in recent years, studies show…
This lecture, by DeepMind Research Scientist Andriy Mnih, explores latent variable models, a powerful and flexible framework for generative modelling.…
What can we do to build algorithms that are safe, reliable and robust? And what are the responsibilities of technologists…
Join DeepMind Science Engineer Kathryn Tunyasuvunakool to explore the hidden world of proteins. These tiny molecular machines underpin every biological…
The inside story of the DeepMind team of scientists and engineers who created AlphaFold, an AI system that is recognised…