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Waterloo Engineering researchers behind an open-source project to detect COVID-19 using chest X-rays and artificial intelligence (AI) announced a significant advancement this week.

In addition to detecting the disease, researchers said their technology is now capable of determining its severity.

Chest x-rays of COVID-19 patients.

Researchers are using AI and chest X-rays to determine COVID-19 severity.

Researchers from Waterloo Engineering played prominent roles at a recent virtual symposium staged by the Region of Waterloo.

A team of faculty members, graduate students and postdoctoral fellows led by Nadine Ibrahim, a civil and environmental engineering lecturer, contributed two white papers exploring the implications of COVID-19 on the region’s official planning process.

The papers covered considerations involving water, wastewater, stormwater, asset management and roads.

Waterloo Engineering alumni company Clearpath Robotics has secured an additional US $5 million to fuel global growth of Otto Motors, its industrial division.

The investment boosts the total of its latest round of financial backing to US $34 million following the announcement in June of US $29 million.

Researchers at Waterloo Engineering have developed a palm-sized device to monitor glucose levels in people with diabetes using radar and artificial intelligence (AI), not painful finger pricks to draw blood.

The new technology is safe, fast and accurate, and works by sending radio waves through the skin and into blood vessels when users place the tip of their finger on a touchpad.

Safieddin (Ali) Safavi-Naeini

The much-anticipated REEM-C recently arrived on campus and has already started an extensive training program.

The humanoid robot is described as the slightly smaller and lighter brother of TALOS, the full-size black and purple robot that was welcomed with great Katja Mombaur and REEM-Cfanfare at Engineering 7 almost two years ago.
 

Katja Mombaur greets REEM-C, the University's newest humanoid robot 

Projects by students from Waterloo Engineering took both runner-up prizes in the Canadian leg of the James Dyson Award competition for student inventors.

SmartPatrol, which uses computer vision to prevent injuries at ski resorts, and Scope, which is developing a better zoom function for smartphone cameras, now move on to the international portion of the 27-country competition.