AI RESEARCH YOU SHOULD KNOW ABOUT
AI Currents is a report by AI researcher Libby Kinsey
and Exponential View which aims to showcase and
explain the most important research in Artificial
Intelligence and Machine Learning.
Breakthroughs in AI come at an ever more rapid pace.
We, at Exponential View, wanted to build a bridge
between the newest research and its relevance for
businesses, product leaders and data science teams across
AI Currents is our first attempt at this. To distill the most
important papers of the previous calendar quarter into a
digestible and accessible guide for the practitioner or unit
head. It is not an easy task with more than 60,000 AI
papers published last year.
We’re grateful to Libby Kinsey for stepping up to the
We hope you enjoy it.
Founder, Exponential View
After twelve years working in technology and VC, I went
back to university to study machine learning at UCL. It
was 2014, Deepmind had recently been acquired by
Google, Andrew Ng’s introductory course on machine
learning was already an online sensation, yet mostly,
machine learning hadn’t hit the mainstream.
Upon graduating, I felt super-powered for all of a few
minutes, and then the truth hit me that I didn’t know
how to do anything… real. I’d focused so much on
learning the maths and implementing the algorithms that
I had a lot of context to catch up on.
Since then, I’ve been trying to parse what is happening in
the world of research into what that means for
commercial opportunity, societal impact and widespread
adoption. I work in a variety of roles, as technologist,
advisor, and analyst, for startups, larger organisations and
In this first edition of AI Currents, I’ve selected five
recent papers and one bigger theme that I think are
interesting to this wider perspective. There’s a mix of
topics among those that are definitely in the ‘fundamental
research’ category but which are advancing towards
capabilities that are at the heart of artificial intelligence,