highlights

Can you segment moving objects from image frames captured by car cameras? The 2018 CVPR workshop on autonomous driving (WAD) is hosting a challenge to enable autonomously driven vehicles to label instances of moving objects such as vehicles and pedestrians.

Researchers from Google, Verily Life Sciences, and Stanford School of Medicine have developed an algorithm to predict cardiovascular risk factors from retinal fundus photographs. Their model was trained from 48,101 patients from the UK Biobank and 236,234 patients from EyePACS using deep learning, and validated on 12,026 patients from the UK Biobank and 999 patients from EyePACS.

This is a massive open online course offered by the University of California, San Diego. The course is thought by Ilkay Altintas and Amarnath Gupta, and it is developed for those new to data science.