As expectations soar in the exploding field of artificial intelligence (AI), a small but growing group of researchers is buckling down on a fundamental problem: understanding how increasingly complex computer programs actually work.
One of those researchers is Devinder Kumar, a doctoral candidate in systems design engineering at the University of Waterloo who gave a keynote address on his work recently at the prestigious AI Toronto conference.
A recent advancement in microscope imaging technology at the University of Waterloo could soon make diagnosing disease more accessible and affordable.
The advancement, developed by Waterloo researchers Farnoud Kazemzadeh and Alexander Wong, has led to a new form of spectral light-fusion microscope for capturing lightfield images in full-colour. Full-colour images are required in pathology as it enables the microscope user to analyze the behaviour and interactions of different organisms at a scale that much larger than traditional microscopes.
Figure 1 has made a name for itself as a social network that lets medical professionals discuss photos of patient conditions with colleagues around the world.
“They can learn in real time from other people experiencing and seeing cases,” says Dr. Joshua Landy, a practicing physician and cofounder of Figure 1. “If you’re seeing a case, you can take a picture of it, you can describe it and ask for help, and you can even page a specialist.”