AI & RoboticsNews

MyndYou uses AI and passive data to detect cognitive decline in seniors

As pandemic-driven social distancing and self-isolation measures permeate society, safeguarding vulnerable people’s mental and physical well-being is more important than ever. The vast majority of elderly people would rather “age in place” in their own homes than move in with family or into a multi-residence retirement facility. This trend had already led to a surge in technologies aimed at…
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AI & RoboticsNews

Language may help AI navigate new environments

In a new study published this week on the preprint server Arxiv.org, scientists at the University of Toronto and the Vector Institute, an independent nonprofit dedicated to advancing AI, propose BabyAI++, a platform to study whether descriptive texts help AI to generalize…
AI & RoboticsNews

AI Weekly: When to ship or shelve a coronavirus solution

Apple and Google’s common coronavirus contact tracing solution for smartphones continued to attract a lot of attention and debate over the course of the past week, and understandably so. It’s an unprecedented partnership between the world’s dominant smartphone operating system makers, but people are worried about privacy, and the notion that whatever tracking tool made in the name of…
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AI & RoboticsNews

MIT’s AI suggests that social distancing works

In a preprint academic paper published in early April, MIT researchers describe a model that quantifies the impact of quarantine measures on the spread of COVID-19, the novel coronavirus. Unlike most of the models that have so far been proposed, this one doesn’t rely on data from studies about previous outbreaks, like SARS or MERS. Instead, it taps an AI algorithm trained to capture the number…
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AI & RoboticsNews

Clova AI Research uses unsupervised learning to deliver state-of-the-art image style transfers

AI researchers in South Korea created an AI system named U-GAT-IT, an unsupervised learning model for image-to-image translation. They said U-GAT-IT outperforms four other top generative networks created with unsupervised learning in almost every instance. Image-to-image translation can improve applications ranging from image style transfers to inpainting, the process of predicting missing pixels…
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