His goal is to build AI systems that can recognize and understand a 3D and interactive world from a single image.
His goal is to build AI systems that can recognize and understand a 3D and interactive world from a single image.
Prof. Chai has been recognized for significant contributions to grounded natural language processing and the interaction between language processing and robotics.
Prof. Mao and her students have played an important role in understanding the efficiency, security, and performance of a number of mobile systems.
A group of researchers at U-M is working on the full big data stack for training machine learning models on millions of devices worldwide.
A medical security expert outlines the risks and how hospitals can protect themselves.
New model PixelSynth creates an interactive experience given just a single image.
Probabilities with a negative sign have been of great use in quantum physics.
Baris Kasikci plans to improve software fuzzers by learning how deployed software is most commonly run by users.
A new algorithm gives autonomous agents the ability to take in batches of multiple instructions at once while responding dynamically to changes in their surroundings.
Prof. Greg Bodwin has devised a solution to an important open question in graph theory that offers promising new options for repairing and constructing resilient networks.