Research

Baby physical safety monitoring in smart home using action recognition system

Researchers from the University of Cincinnati recently studied advances in action recognition, as humans are able to intuitively deduce actions that took place between two states in observations via deductive reasoning.

Deep learning for live cell shape detection

Researchers from Iowa State University were looking to advance atomic force microscopy (AFM) in order to provide a platform for high-resolution topographical imaging.

HyperionSolarNet: Solar panel detection from aerial images

Researchers from UC Berkeley set out to create a comprehensive database for locating solar panels given the importance of being able to assist analysts and policymakers on defining strategies for further expansion of solar energy.

Multi-view deep learning for reliable post-disaster damage classification

Researchers from Texas A&M University, recently researched ways to enable more reliable automated post-disaster building damage classification using artificial intelligence (AI) and multi-view imagery.

CS230, Stanford

Labelbox has been heavily used by the students enrolled in CS230 CS230 Deep LearningDeep Learning is one of the most highly sought after skills in AI. In this course, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Drop…Andrew NgInstructor