
New Models Make Circuit Design More Efficient
Machine Learning models streamline circuit design, with applications ranging from electronics to aerospace.
Machine Learning models streamline circuit design, with applications ranging from electronics to aerospace.
Refining the mathematical models behind machine learning helps businesses predict future growth.
We chatted with Physics grad Evan Rand about his career and experiences post-graduation.
Novel methods address the threat of contaminants to protect vital groundwater.
Molecular interactions in chemical systems provide insight to inform innovative technologies.
Dr. Neil Bruce’s research in computer vision has application in industries such as agriculture.
We chatted with Master of Cybersecurity and Threat Intelligence grad Samira Eisaloo about her career and experiences.
Projects supported by Barrett grants address sustainability challenges in the food industry.
We chatted with Shaan Saharan about his experience as a first-year student at the University of Guelph.
New mathematical models shed light on the interactions between invisible astrophysical objects.