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 slept, and monitored your heartbeat and breathing. You drive to work; car sensors track your speed and braking. You pick up some breakfast on your way, paying electronically; the transaction and the calorie content of your meal are recorded. Then you have a car accident. You phone your insurance co...[Read More]
Funded by the Sage Foundation, rAInbow is an artificial intelligence (AI) chatbot that helps victims of domestic abuse find help. The bot was officially launched in South Africa today — and is the first chatbot of its kind locally. It runs through Facebook Messenger, and the developers have plans to port it to other messaging apps, like WhatsApp. One of the main issues with regards to domest...[Read More]
The best footballers aren’t necessarily the ones with the best physical skills. The difference between success and failure in football often lies in the ability to make the right split-second decisions on the field about where to run and when to tackle, pass or shoot. So how can clubs help players train their brains as well as their bodies? My colleagues and I are working with Chelsea FC academy t...[Read More]
Most of the conversations about artificial intelligence (AI) seem to be focussed on the potential job losses this new form of automation will result in. Some 800-million people could lose their jobs by 2030 according to the figures from a study by the McKinsey Global Institute last December, which also predicted AI will affect 800 various job types and occupations in 46 countries. That’s 20%...[Read More]
The future won’t be made by either humans or machines alone – but by both, working together. Technologies modelled on how human brains work are already augmenting people’s abilities, and will only get more influential as society gets used to these increasingly capable machines. Technology optimists have envisioned a world with rising human productivity and quality of life as artificial intelligenc...[Read More]
A painting generated by artificial intelligence will go up for sale at auction later this month – raising again the question of whether a machine can be creative. The painting, called Edmond De Belamy, is estimated to be worth between 7,000€ and 10,000€. The auction house Christie’s says the painting is the product of a Generative Adversarial Network, in which one artificial neural network (the so...[Read More]