Machine Learning

Warning: This video has graphic images of surgical procedures. An interdisciplinary fellowship with the Data Science Institute has resulted in a promising machine-learning technology that can effectively track complex surgical activity, thus having the potential to improve patient outcomes, safety and documentation. TingYan Deng TingYan “Nicholas” Deng,… Read More

Claire Tomlin is a pioneer in hybrid control systems research, particularly aeronautical applications to address problems in aircraft flight control and collision avoidance. She has developed algorithms to help determine when unsafe conditions may arise as variables and interactions become increasingly complex. Her work includes issues of autonomous control of… Read More

While studying prefrontal cortex development in adolescents, neuroscientist Maizie Zhou came to a realization that would dramatically alter her career path. Seeing how widespread autism was, but how few answers the scientific community had for those affected by it, she decided a different approach—one that is more data-driven and computational—was… Read More

A trans-institutional team of Vanderbilt engineering, data science and clinical researchers has developed a novel approach for monitoring bone stress in recreational and professional athletes, with the goal of anticipating and preventing injury. Using machine learning and biomechanical modeling techniques, the researchers built multisensory algorithms that combine data from… Read More

A new, $8.7 million project—Design. R–AI-assisted CPS Design—involves pathbreaking work for the Defense Advanced Research Projects Agency as future cyber-physical systems will rely less on human control and more machine learning algorithms and artificial intelligence processors. Smart grid, driver-assist and autonomous automobile systems, health and biomedical monitoring, smart cities, robotics systems,… Read More

Building on the exceptional success of their 2015 massive open online course (MOOC), “Introduction to Programming with MATLAB,” Mike Fitzpatrick, professor emeritus of computer science, and Akos Ledeczi, professor of computer engineering, are adding new courses to create an extended series. Fitzpatrick and Ledeczi have teamed… Read More

Vanderbilt risk and reliability engineers will work with MISO Power, which operates the grid in 15 states, to build better predictive models for renewable energy. The U.S. electricity market has never been simple but it has relied on highly predictable models. Loads are high during very hot and very cold… Read More

The idea of simultaneously analyzing medical diagnosis codes with electronic medical records has been much like knowing valuable treasure is buried under miles of rock but lacking the tools to mine it. The payoff—connections that may detect disease earlier and identify new research paths—has tantalized engineers and clinicians alike, remaining… Read More

In machine learning, generative adversarial networks (GANs) involve two artificial neural networks squaring off, one, the generator, trying to delude the other, the discriminator, into accepting synthetic data as real. Beyond their science and engineering applications, GANs can generate utterly convincing “photographs” of people who do not exist. Unrestricted… Read More

MarmotE team members (L-T) Peter Horvath, Peter Volgyesi, Sandor Szilvasi and Miklos Maroti. Top prize in round one in 2017, second place in round two in 2018, and a prediction to cinch one of the top three spots in the live championship round of the DARPA Spectrum Collaboration Challenge,… Read More