Talk: How Do We Support Under-represented Groups To Put Themselves Forward?

Talk: How Do We Support Under-represented Groups To Put Themselves Forward?
I gave a talk at the Royal Society's 2018 annual diversity conference. This is the text of  my contribution; you can also see the video here. Thank you to all the organisers of this year’s annual conference for this very special opportunity to speak to you all today. My aim today is to spark a ...

Machine Learning Trick of the Day (8): Instrumental Thinking 3

Machine Learning Trick of the Day (8): Instrumental Thinking
· Read in · 1499 words · All posts in series · trick is unlike the others we've conjured. It will not reveal a clever manipulation of a probability or an integral or a derivative, or produce a code one-liner. But like all our other tricks, it will give us a powerful instrument in our ...

Decolonising Artificial Intelligence 4

Decolonising Artificial Intelligence
· Read in 6mins · 1297 words · The Artificial Intelligence we believe to be global, is far from it. It is localised. Contained. Within restricted geographies and people. As the pressure of containment builds and the kettle begins to whistle, the call sounds.  How do we make global AI truly global?  This call will be ...

The Price of Transformation 3

The Price of Transformation
· Read in · 1200 words · We are the people who transform the world. And Transformation is needed. We need a transformation—of our thinking, communities and institutions—in which we are all truly equal, and inherited injustices are eliminated. This is as important to our social well-being today as it has ever been. True Transformation's accomplishment ...

Machine Learning Trick of the Day (7): Density Ratio Trick 2

Machine Learning Trick of the Day (7): Density Ratio Trick
· Read in · 1481 words · All posts in series · probability on its own is often an uninteresting thing. But when we can compare probabilities, that is when their full splendour is revealed. By comparing probabilities we are able form judgements; by comparing probabilities we can exploit the elements of our world that ...

Cognitive Machine Learning (2): Uncertain Thoughts 1

Cognitive Machine Learning (2): Uncertain Thoughts
· Read in · 1813 words · All posts in series  · She pined in thought,  And with a green and yellow melancholy She sat like Patience on a monument,  Smiling at grief. Was not this love indeed? [King Lear, Act 2, Scene 4, Line 117]  King Lear, Shakespeare stirs a sense of self-consciousness by invoking Patience, sitting up high; ...

Cognitive Machine Learning (1): Learning to Explain 1

Cognitive Machine Learning (1): Learning to Explain
· Read in · 1720 words · All posts in series  · is an image of the Zaamenkomst panel: one of the best remaining exemplars of rock art from the San people of Southern Africa. As soon as you see it, you are inevitably herded, like the eland in the scene, through a series of thoughts. Does it have a meaning?  Why ...

Cognitive Machine Learning: Prologue 4

Cognitive Machine Learning: Prologue
· Read in · 980 words · All posts in series  · of inspiration is one thing we do not lack in machine learning. This is what, for me at least, makes  machine learning research such a rewarding and exciting area to work in. We gain inspiration from our traditional neighbours in statistics, signal processing and control engineering, information theory and ...

Talk: Building Machines that Imagine and Reason 2

Talk: Building Machines that Imagine and Reason
I am excited to be one the speakers at this year's Deep Learning Summer School in Montreal on the 6th August 2016. Slides can be found here: slides link. And the abstract is below. Building Machines that Imagine and Reason: Principles and Applications of Deep Generative Models Deep generative models provide a solution to the problem of unsupervised ...

Learning in Brains and Machines (4): Episodic and Interactive Memory

Learning in Brains and Machines (4): Episodic and Interactive Memory
· Read in · 2080 words · All posts in series  · memory, like yours, exerts a powerful influence over my interaction with the world. It is reconstructive and evocative; I can easily form an image of hot December days in the South African summer, and remember my first time—it was morning on an Easter Sunday in April a few years ago—that I saw and felt snow. My ...