Whether you’ve just graduated or haven’t designed a circuit in 30 years, stress-free Skule™ Talks are an accessible way to catch up on the ideas that matter to today’s electrical and computer engineering thinkers — short videos on the big questions in fields from wearable tech to smart-grid security and more.
Q-tipping Point: Using Electrical Signals for a Rapid COVID-19 Test
Surath Gomis
Researchers at ECE are part of a transdisciplinary team that has developed a rapid diagnostic COVID-19 test to replace the nasal swab. The technique is fast, reagent-free and non-invasive. ECE PhD candidate Surath Gomis speaks about this new test's sensing platform as well as the current state of testing and how engineering strategies can develop rapid diagnostic tools to help manage public health. Watch the video.
Past Skule™ Talks
Why is my panda a gibbon? Making machine learning secure and trustworthy.
Professor Nicholas Papernot
Machine learning is pervasive: from the translation feature of our phones to the boarding pass checks of airport gates - but individuals often have little understanding or awareness of how data is being analyzed and why. It's no surprise that machine learning models have been called "black-boxes" but do we understand what's behind the magic? Watch the video.
OK Google, who is collecting my data and why?
Professor David Lie and Professor Lisa Austin from the Faculty of Law are collaborating to tackle privacy issues where technology and law meet. In this talk, Professors Lie and Austin discuss their Information Technology, Transparency and Transformation (IT3) Lab that was established to create new technologies and practices that address the data-transparency divide. Watch the video.
Beyond Moore's Law: Light, Brain, and Computing
Professor Joyce Poon speaks on the end of Moore's Law and how this opens up new opportunities for unconventional microsystems and nanodevices that can fundamentally transform computing over the next 10 to 20 years. In this talk, Professor Poon discusses her research on enabling new types of brain-inspired (i.e., neuromorphic) computing systems and interfaces to the brain. Watch the video.