IEEE Computational Intelligence Society (CIS) Shenzhen Chapter

IEEE SIGHT (Special Interest Group on Humanitarian Technology) of Montreal Section, Vision and Image Processing Research Group of the University of Waterloo and DarwinAI Corp. invite you to the closing ceremony of the virtual competition on AI for COVID-19 diagnosis with chest X-ray images. In the First Phase, the challenge consisted of designing robust machine learning algorithms to predict if the subjects of study are either COVID-19 positive or COVID-19 negative. Join us to celebrate the amazing work done by all the teams and know who will be participating in the Second Phase. Then, you are also invited to a networking session with everybody! --------------------------------------------------------------- For more information, visit (https://r7.ieee.org/montreal-sight/ai-against-covid-19/). Co-sponsored by: Microsoft Canada (exclusive cloud platform sponsor), IEEE Canada Humanitarian Initiatives Committee and IEEE Montreal Section Virtual: https://events.vtools.ieee.org/m/274628

IEEE YP Professional Development Series: Part 2 The Professional Development Series is a 10-part series of online seminars which aims at presenting and discussing career opportunities and pathways in the engineering profession, with presenters coming from a wide range of backgrounds across Canada and the world. In Part 2, Madison Cohen-McFarlane will discuss what it takes to become a graduate student, and what are the expectations during and post-graduate studies in the engineering profession. Virtual: https://events.vtools.ieee.org/m/273112

The use of numerical exposure evaluations performed with high-resolution anatomical models has become an essential part of the safety assessment of radiofrequency (RF) fields over the last two decades, in applications from wireless communication and power transfer to wearable and implanted medical devices. This lecture reviews those applications of human anatomical models, and discusses the two important trends going forward: the first, using a wide range of anatomical models to perform in silico clinical trials and define a representative envelope of potential outcomes for the population; the second, using morphed and posed models to create a 'digital twin' to perform precise assessments relevant for a specific person. Montreal, Quebec, Canada, Virtual: https://events.vtools.ieee.org/m/274198