AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone–especially your non-technical colleagues–to take.
Mainly Computer Vision (tasks/datasets/papers with code)
The artificial intelligence sector sees over 14,000 papers published each year. This field attracts one of the most productive research groups globally.
AI conferences like NeurIPS, ICML, ICLR, ACL and MLDS, among others, attract scores of interesting papers every year. The year 2019 saw an increase in the number of submissions.
Computer vision models have learned to identify objects in photos so accurately that some can outperform humans on some datasets. But when those same object detectors are turned loose in the real world, their performance noticeably drops, creating reliability concerns for self-driving cars and other safety-critical systems that use machine vision.