Sections in the brain called "senders" and "receivers" are responsible for directing neural traffic, and we are now a step closer to understanding how they work.
Finding out more about how the brain works could help programmers translate thinking from the wet and squishy world of biology into all-new forms of machine learning in the digital world.
Robots for tutoring? The desire to keep pace with technological change should not eclipse larger questions about how children's development is impacted.
Because a host of artists and programmers can leave their stamp on a final product, disagreements and claims of theft have ensued.
Artificially intelligent drug design programs could discover new therapies for conditions that are difficult or prohibitively expensive to cure.
Combining quantum computing with neural networks could produce AI that can make very complex decisions quickly.
Beware of the blind use of artificial intelligence: used as a "magic wand", for example in an autonomous car, it presents risks.
The dangers of AI solutionism need to be addressed.
Google's latest AI promises to help arrange your life by making appointment for you over the phone, but it's limited by its rote learning of the simple tasks of everyday life.
AI seems able to answer questions at the heart of humanitarianism – questions such as who we should save, and how to be effective at scale.
The chatbot industry sees more data as the answer to building a truly conversational system. But the industry may be teaching chatbots the wrong thing.
The current push towards AI categorisation of people is in danger of embedding a binary view of society.
Robots have a lot to learn from humans when it comes to memory.
How can you prepare for the coming AI revolution? Here's a handy survival guide.
Fresh hope for sufferers of mental illness.
Computers must master football if they are to demonstrate that they can be our equal.
Big data is all well and good, but if we want medical breakthroughs, we'll need big theory too.
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.
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.
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.