Inequality may seem something that is all too evident, as run down streets and communities show visible signs of lacking due care and attention, But in many communities, poverty can lie out of plain sight. New research from Imperial College London suggests deep learning can be used to better detect social, economic, environmental, and health inequalities than existing methods.
The researchers believe their system can help policymakers gain a greater understanding of the inequalities that exist within their city, and therefore have more informed policies for tackling them. What's more, the real-time nature of the metrics allows more effective interventions to be crafted.
The Sensor Technology That Can Assess Reproductive Health
A couple of years ago, researchers at the Prague Fertility Center used AI as part of the IVF process. They believed that their work was the first automated technology to use AI to recognize and sort embryos.
Now, a team from Imperial College London and the University of Hong Kong have developed sensor technology that they believe can measure hormones in real time and provide a reliable assessment of fertility.