Machine gaydar: AI is reinforcing stereotypes that liberal societies are trying to get rid of
The current push towards AI categorisation of people is in danger of embedding a binary view of society.
Academic rigor, journalistic flair
Articles on Neural networks
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We all need to forget, even robots
Robots have a lot to learn from humans when it comes to memory.
A survival guide for the coming AI revolution
How can you prepare for the coming AI revolution? Here's a handy survival guide.
Study shows direct manipulation of brain can reverse effects of depression
Fresh hope for sufferers of mental illness.
Why football, not chess, is the true final frontier for robotic artificial intelligence
Computers must master football if they are to demonstrate that they can be our equal.
Big data has not revolutionised medicine – we need big theory alongside it
Big data is all well and good, but if we want medical breakthroughs, we'll need big theory too.
Beyond today’s crowdsourced science to tomorrow’s citizen science cyborgs
Computers are getting better and better at the jobs that previously made sense for researchers to outsource to citizen scientists. But don't worry: there's still a role for people in these projects.
AI has beaten us at Go. So what next for humanity?
A machine has bested us at yet another intellectually challenging game. It shows artificial intelligence is progressing rapidly, but it doesn't mean humans are redundant quite yet.
Who (or what) is behind the wheel? The regulatory challenges of driverless cars
Can software really be considered the "driver" of an autonomous vehicle? This is one question that needs to be resolved before driveless cars can hit the roads.
In sea of satellite images, experts’ eyes still needed
Expert image analysts have an important role to play, even in an age of computer interpretation and crowdsourcing.
Brain connections predict how well you can pay attention
Particular parts of an individual's brain tend to work together on certain tasks. Researchers can look at these patterns of "functional connectivity" to predict traits – like the ability to pay attention.
What the Dog-Fish and Camel-Bird can tell us about how our brains work
Google's image recognition project has not only generated some disturbing images but also tells us something about how we humans identify objects we see.
Top contributors
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Professor of AI at UNSW, Research Group Leader, Data61
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Associate Professor, Swinburne University of Technology
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Lecturer, Public Policy and Law, Monash University
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Senior Research Fellow, Horizon Digital Economy, UnBias, University of Nottingham
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Research Fellow, Robotics & AI, Queensland University of Technology
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PhD Candidate in Psychology, Yale University
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Assistant Professor of Galaxy & Black Hole Astrophysics, Swiss Federal Institute of Technology Zurich
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Assistant Professor of Geography, Michigan State University
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Professor of Physical Chemistry & Director of Centre for Computational Science, UCL
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Distinguished professor, Texas A&M University
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PhD Candidate in Cognitive Neuroscience, The University of Queensland
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Senior Clinical Research Fellow, Department of Psychiatry and Faculty of Philosophy, University of Oxford
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Professor of Artificial Intelligence, University of Hertfordshire
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Researcher, Human-Machine Interaction, The MARCS Institute, Western Sydney University
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