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How does the image-recognition technology in a self-driving car respond to a blurred shape suddenly appearing on the road? Researchers from KU Leuven, Belgium, have shown that machines can learn to respond to unfamiliar objects like human beings would.

Imagine heading home in your self-driving car. The rain is falling in torrents and visibility is poor. All of a sudden, a blurred shape appears on the road. What would you want the car to do? Should it hit the brakes, at the risk of causing the cars behind you to crash? Or should it just keep driving?


COLUMBUS, Ohio - Getting more nutritious meals on the tables of low-income Americans could depend on the hours the stores in their neighborhoods keep.

Stores likely to sell fresh produce aren't open as long in areas with more socioeconomic struggles, and that problem is more pronounced in neighborhoods where many African Americans live, new research from The Ohio State University has found.

In affluent neighborhoods, 24-7 access to a wide array of foods is far more common.

"Let's say you're stringing together a few jobs and you get off work at 10 and your market closes at 8. It's a big problem," said researcher Jill Clark, an assistant professor in Ohio State's John Glenn College of Public Affairs.


A research team led by an award-winning genomicist at Western University has developed a new method for identifying mutations and prioritizing variants in breast and ovarian cancer genes, which will not only reduce the number of possible variants for doctors to investigate, but also increase the number of patients that are properly diagnosed.

These potentially game-changing technologies, developed by Peter Rogan, PhD, students and his collaborators from Western's Schulich School of Medicine & Dentistry, reveal gene variants that were missed by conventional genetic testing.


Most people are aware of open-source computer programs. These free programs, accessible by anyone, spread technology to distant corners of the world. Cutting-edge innovations, however, come at a price. As a result, many software companies license their work.

These same concerns exist within the seed-development arena. Some plant researchers support the free exchange of new varieties of seeds and plants. Doing so, they argue, benefits both plant breeders and farmers. Considering seeds "intellectual property" may seem harmful to this free exchange of information.