Most machine learning models use supervised learning, meaning they’re trained on annotated data, which is costly and time consuming to acquire.The chief ...

In recent years, generative adversarial networks (GANs) have demonstrated a remarkable ability to synthesize realistic visual images from scratch.But ...

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply ...

Lantao Liu and his team at the Vehicle Autonomy and Intelligence Lab (VAIL) at Indiana University Bloomington want to help robots get better at navigating ...

Machine learning models are usually tested on held-out data from their training sets. But when data distributions in the real world diverge from those in ...

Image matching has many practical applications. For instance, image retrieval systems like Amazon’s StyleSnap or the Amazon Shopping app’s Camera Search let ...

One of the things that drives Muthu Kumar Chandrasekaran’s interest in science is its potential to benefit society.While pursuing his PhD at the National ...

The quantile function is a mathematical function that takes a quantile (a percentage of a distribution, from 0 to 1) as input and outputs the value of a ...

For a human to drive successfully around an urban environment, they must be able to trust their eyes and other senses, know where they are, understand the ...

When Matt Taddy earned his PhD in applied mathematics and statistics from the University of California, Santa Cruz, in 2008, the notion of a data-science ...