We might be on the right track to achieve a more comprehensive, human-level artificial intelligence. Applying this kind of learning to other tasks – perhaps applying it to signals…
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In our lab at the University of Saskatchewan we are doing interesting deep learning research related to healthcare applications — and as a professor of electrical and computer engineering, I lead the research team. When it comes to health care, using AI or machine learning to make diagnoses is new, and there has been exciting and promising progress.
When artificial intelligence systems start getting creative, they can create great things – and scary ones. Take, for instance, an AI program that let web users compose music along with a virtual Johann Sebastian Bach by entering notes into a program that generates Bach-like harmonies to match them.
Emotion AI works on teaching robots how to feel empathy. Google AI stories are about how AI is helping people solve problems. Experts race to predict how we will be living with AI in the near future.
Artificial intelligence (AI) systems are becoming more like us. You can ask Google Home to switch off your bedroom lights, much as you might ask your human partner.
When you text inquiries to Amazon online it’s sometimes unclear whether you’re being answered by a human or the company’s chatbot technology.
Some people suggest these tasks should be automated, as machines do not get bored, tired or distracted over time. However, computer vision algorithms tasked to recognize faces could also make mistakes. As my research has found, together, machines and humans could do much better.
Of all the fictional virtual assistants we know from pop culture, few stand up to the original and perhaps most famous: the HAL 9000 from the 1968 Stanley Kubrick film 2001: A Space Odyssey.
We should probably be thankful for that. After all, Alexa may shut your lights off, but she won’t turn against you and wreak havoc on your life. Or will she?
It’s a new day not very far in the future. You wake up; your wristwatch has recorded how long you’ve…