Artificial intelligence has arrived. But what is it, exactly – and what’s behind some of the most splashy AIs we have encountered to date?
A lump of cells could be given the legal status of a person, or remain a property.
We’ve seen AI systems writing texts that are indistinguishable from human texts. Some are even rendering impressive 3D artworks from short text inputs. But it doesn’t mean they can ‘think’ like us.
Our research on a recent Australian court case shows how experts and lawyers can overcome opaque AI technology. But regulators could make it even easier, by making AI companies document their systems.
New software that can generate images and text on command may deliver ‘good enough’ creativity in advertising, copywriting, stock imagery and graphic design.
Emotions play a key role in many types of spontaneous thoughts. Even microemotions — which are often fleeting and unconscious — can affect thoughts and influence attention.
Understanding when and how neurons die is an important part of research on neurodegenerative diseases like Lou Gehrig’s, Alzheimer’s and Parkinson’s diseases.
Using a form of artificial intelligence called deep neural networks, researchers can generate new proteins from scratch without having to consult nature.
Machine learning systems can now aid human intuition to create mathematical conjectures and proofs.
The public holds self-driving cars to incredibly high safety standards – and we’re working to meet them.
In a series of experiments, Australian researchers showed how machines can find vulnerabilities in human decision-making and exploit them to influence our behaviour.
Artificial intelligence is supported by an infrastructure of hardware and software that is growing increasingly present in our lives, yet remains hidden in plain view.
Training neural networks burns through a lot of energy. As the AI field grows, it’s working to keep its carbon foot print from growing with it.
Neural networks today do everything from cameras to translations. A professor of computer science provides a basic explanation of how neural networks work.
Text generators like GPT-3 can produce remarkably convincing writing, but they can’t do away with human supervision just yet.
The most interesting thing is how free Gertrude is to move around while the implanted chip collects the data.
A bioengineer explains how a clearer picture of brain structure and function may fine-tune the ways brain surgery attempts to correct structure and medication tries to correct function.
The internet has allowed pseudoscience to flourish. Artificial intelligence could help steer people away from the bad information.
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.