It’s difficult to tell a shipwreck from a natural feature on the ocean floor in a scan taken from a plane or ship. This project used deep learning to get it right 92% of the time.
Advanced techniques allowed our research team to build an open database of billions of individual trees and challenge some common perceptions about vegetation in arid and semi-arid zones.
The public holds self-driving cars to incredibly high safety standards – and we’re working to meet them.
Neural networks today do everything from cameras to translations. A professor of computer science provides a basic explanation of how neural networks work.
Fake videos generated with sophisticated AI tools are a looming threat. Researchers are racing to build tools that can detect them, tools that are crucial for journalists to counter disinformation.
Text generators like GPT-3 can produce remarkably convincing writing, but they can’t do away with human supervision just yet.
It’s easy to edit video of public figures to make them appear asleep, confused, drunk or cognitively impaired when they are not. The technique is being used to undermine Joe Biden’s campaign.
Pathogens rapidly evolve resistance to antibiotics. AI could keep us a step ahead of deadly infections.
Predicting life expectancy remains in the realm of science fiction, but it may soon be possible. Are we prepared for such information? And who else would benefit from this knowledge?
A research lab at the University of Saskatchewan is pursuing the applications of artificial intelligence and machine learning to healthcare diagnoses.
Why are three-pointer shots from the corner more efficient than the ones above the break? The answer: More than 90 percent of corner three-point shots are assisted.
Robots for tutoring? The desire to keep pace with technological change should not eclipse larger questions about how children’s development is impacted.
AlphaZero is a machine capable of defeating the most complex board games for the human mind, based only on its own learning experience, not on accumulated human knowledge.
Beware of the blind use of artificial intelligence: used as a “magic wand”, for example in an autonomous car, it presents risks.
Artificial intelligence techniques like deep learning and reinforcement learning are getting increasingly advanced and capable of helping people with a wide range of complex tasks.
With artificial intelligence, machines can now examine thousands of medical images for signs of disease. Will this technology replace doctors – or work side by side with them?
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.
Thanks to new deep-learning techniques, AI has the potential to analyse, improve and contribute to the process of human discussion.
Computers today are fast and powerful but they still can’t think like a human when it comes to some tasks we find easy. That’s why tech companies are turning to neuroscience for help.
Smart machines are about to usher in the age of Industry 4.0.