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Fourteen members of the AI Institute will be at the University of Bordeaux on April 8-10 for a joint workshop on the topic of AI and Public Health. The goal of the workshop is to establish and deepen research partnerships by bringing together an interdisciplinary group of researchers with expertise in artificial intelligence, machine learning, public health, biostatistics, epidemiology, mobile health technology, population health, surveillance, incentivizing healthy behaviour, and health informatics.

It is no secret that deep neural networks (DNNs) can achieve state-of-the-art performance in a wide range of complicated tasks. DNN models such as BigGAN, BERT, and GPT 2.0 have proved the high potential of deep learning. Deploying DNNs on mobile devices, consumer devices, drones and vehicles however remains a bottleneck for researchers. For such practical, on-device scenarios, DNNs must have a smaller footprint.

Read the full story at Synced

One of the hottest topics at this year’s World Economic Forum in Davos was the wave of automation expected from advances in artificial intelligence (AI), and the consequent displacement of workers. This anticipated realignment was depicted as good or bad news depending on who was speaking and who was listening.

Prof. Alexander Wong of the Systems Design Engineering department at the University of Waterloo is quoted in this article. 

Saturday, March 16, 2019

Is AI Headed For Another Winter?

AI (Artificial Intelligence) has experienced several periods of severe funding cuts and lack of interest, such as during the 1970s and 1980s. They were called “AI winters,” a reference to the concept of nuclear winter where the sun is blocked from a layer of smoke and dust!

But of course, things are much different nowadays. AI is one of the hottest categories of tech and is a strategic priority for companies like Facebook, Google, Microsoft and many others.