Patrick White, Université du Québec à Montréal (UQAM)
Journalism is not keeping pace with the evolution of new technologies. Newsrooms need to take advantage of what AI can offer and come up with a new business model.
America’s news reports and social media chatter open a window into the nation’s psyche. An AI-based text analysis of these words shows that the coronavirus is driving up familiar social ills.
Replacing an employee means taking time and resources to train someone new.
djrandco/Shutterstock.com
As more and more Americans are laid off, employers have to consider the cost of letting their staff go.
Using apps like Boomy and Voisey, aspiring pop artists can now use their phones to record and distribute their music — no talent required.
(Shutterstock)
Aspiring singers can now use apps to record professional-sounding songs from their phones. This has the potential to disrupt the recording and publishing industry.
On March 18, 2020, a student configures a modified medical robot to screen and observe patients with VIDOC-19 at the Regional Robotics Technology Centre at Chulalongkorn University in Bangkok.
LILLIAN SUWANRUMPHA/AFP
With the enhanced capabilities of today’s robots and drones, recent examples from China and Thailand and ongoing research show that they have the potential to help us navigate disasters.
Based on current available data, our model predicts by March 31, the number of deaths worldwide will surpass 4,500 and confirmed COVID-19 cases will reach about 150,000.
You’d thinking flying in a plane would be more dangerous than driving a car. In reality it’s much safer, partly because the aviation industry is heavily regulated. Airlines must stick to strict standards…
We created a reading-machine that finds poetry hidden in plain sight in popular books. In doing so, we are exploring Natural Language Processing, Machine Learning and reading in a digitised world.
Tomorrow’s good jobs will require digital skills like programming.
alvarez/Getty Images
Mark Edmonds, University of California, Los Angeles et Yixin Zhu, University of California, Los Angeles
Having robots and other AI systems tell people what the AIs are doing makes them more trustworthy. A study finds that how a robot explains itself matters.
A colored electron microscope image of MRSA.
NIH - NIAID/flickr
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.
gorodenkoff/Getty Images
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.