Social media platforms are increasingly offering mental health support tools to users. The jury is still out on whether it will do any good
Going for a run… with big data.
The use of online health platforms is on the rise, allowing us to track and share our personal data. While such platforms have promise, significant scientific, ethical and privacy questions remains.
Automated algorithms – not humans – are increasingly making decisions about who’s eligible for welfare benefits.
States are increasingly turning to machine learning and algorithms to detect fraud in food stamps, Medicaid and other welfare programs – despite little evidence of actual fraud.
Understanding how the computations in the brain go wrong could help scientists develop treatments for neurological disorders.
The knowledge produced in designing and developing artificial neural networks may provide new insights into how our brains work.
Wonders of the world.
Machines mostly innovate on narrow dataset, which limits their creativity.
Advancements in data analytics can prevent food wastage and save farmers from significant losses along the fresh produce value chain.
Traditional companies need to embrace high-quality data gathering to avoid being left behind by the next industrial revolution.
When algorithms make decisions with real-world consequences, they need to be fair.
A machine learning expert predicts a new balance between human and machine intelligence is on the horizon. For that to be good news, researchers need to figure out how to design algorithms that are fair.
Sharing electronic medical records broadly could identify trends as well as mistakes, but it also poses privacy concerns.
A project involving tens of millions of patient records poses ethical issues, even though patients could ultimately gain. Here's why privacy concerns are a hurdle.
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Beware those who say it is a solved problem.
Close-up on the circuitry of the Vesuvius quantum computer, announced in 2012 by the Canadian firm D-Wave Systems.
On October 23 Google announced that it built a quantum computer thousands of times faster than classic computers. This could have immense impacts on finance, cryptography and other fields.
Responding to the ever-growing amount of email can be a stress-inducing job task.
Google's Smart Compose feature is meant to help deal with the deluge of email, but does it increase the pressure to respond quicker?
Can a machine understand style? Facebook’s Fashion++ system recommends small changes to an outfit to make it more fashionable.
Algorithm-based apps can recommend clothes based on what other people have worn, but they have a long way to go before they understand fashion.
Cat or Mac, which one is the smartest?
If artificial intelligence can amaze us with its prowess, there are many areas where it falls flat when compared to human and animal intelligence.
Artificial Intelligence can perpetuate existing social imbalances in a harmful manner. Can this undesirable scenario be avoided?
Creativity isn't the only route to discovery – automated analysis of huge amounts of data works too.
It can be tricky to make it look like people are doing things they never did.
A key element of the battle between truth and propaganda has nothing to do with technology. It has to do with how people are much more likely to accept something if it confirms their beliefs.
Scientists are working with artificial intelligence in hopes of being able to better detect cancer.
Artificial intelligence holds great promise for medicine, but safeguards are needed to ensure it does not harm patients.
There are potential issues with any use of machine learning in policing. But if used in the right way, it could go a long way towards more effective policing.
In an attempt to address the growing problem of fake news online, an algorithm that identifies patterns in language may help distinguish between factual and inaccurate news articles.
Using machine learning and natural language processing, researchers are developing an algorithm that can distinguish between real and fake news articles.