Machine learning systems can now aid human intuition to create mathematical conjectures and proofs.
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Articles on Neural networks
Displaying 21 - 40 of 53 articles
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.
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.
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